MediaPipe TextEmbedder task for web
PiperOrigin-RevId: 488373613
This commit is contained in:
parent
badaccfb04
commit
05cb40ff79
|
@ -19,3 +19,8 @@ mediapipe_ts_library(
|
|||
name = "landmark",
|
||||
srcs = ["landmark.d.ts"],
|
||||
)
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "embedding_result",
|
||||
srcs = ["embedding_result.d.ts"],
|
||||
)
|
||||
|
|
66
mediapipe/tasks/web/components/containers/embedding_result.d.ts
vendored
Normal file
66
mediapipe/tasks/web/components/containers/embedding_result.d.ts
vendored
Normal file
|
@ -0,0 +1,66 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
/**
|
||||
* List of embeddings with an optional timestamp.
|
||||
*
|
||||
* One and only one of the two 'floatEmbedding' and 'quantizedEmbedding' will
|
||||
* contain data, based on whether or not the embedder was configured to perform
|
||||
* scalar quantization.
|
||||
*/
|
||||
export interface Embedding {
|
||||
/**
|
||||
* Floating-point embedding. Empty if the embedder was configured to perform
|
||||
* scalar-quantization.
|
||||
*/
|
||||
floatEmbedding?: number[];
|
||||
|
||||
/**
|
||||
* Scalar-quantized embedding. Empty if the embedder was not configured to
|
||||
* perform scalar quantization.
|
||||
*/
|
||||
quantizedEmbedding?: Uint8Array;
|
||||
/**
|
||||
* The index of the classifier head these categories refer to. This is
|
||||
* useful for multi-head models.
|
||||
*/
|
||||
headIndex: number;
|
||||
|
||||
/**
|
||||
* The name of the classifier head, which is the corresponding tensor
|
||||
* metadata name.
|
||||
*/
|
||||
headName: string;
|
||||
}
|
||||
|
||||
/** Embedding results for a given embedder model. */
|
||||
export interface EmbeddingResult {
|
||||
/**
|
||||
* The embedding results for each model head, i.e. one for each output tensor.
|
||||
*/
|
||||
embeddings: Embedding[];
|
||||
|
||||
/**
|
||||
* The optional timestamp (in milliseconds) of the start of the chunk of
|
||||
* data corresponding to these results.
|
||||
*
|
||||
* This is only used for embedding extraction on time series (e.g. audio
|
||||
* embedding). In these use cases, the amount of data to process might
|
||||
* exceed the maximum size that the model can process: to solve this, the
|
||||
* input data is split into multiple chunks starting at different timestamps.
|
||||
*/
|
||||
timestampMs?: number;
|
||||
}
|
|
@ -23,9 +23,29 @@ mediapipe_ts_library(
|
|||
],
|
||||
)
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "embedder_result",
|
||||
srcs = ["embedder_result.ts"],
|
||||
deps = [
|
||||
"//mediapipe/tasks/cc/components/containers/proto:embeddings_jspb_proto",
|
||||
"//mediapipe/tasks/web/components/containers:embedding_result",
|
||||
],
|
||||
)
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "embedder_options",
|
||||
srcs = ["embedder_options.ts"],
|
||||
deps = [
|
||||
"//mediapipe/tasks/cc/components/processors/proto:embedder_options_jspb_proto",
|
||||
"//mediapipe/tasks/web/core:embedder_options",
|
||||
],
|
||||
)
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "base_options",
|
||||
srcs = ["base_options.ts"],
|
||||
srcs = [
|
||||
"base_options.ts",
|
||||
],
|
||||
deps = [
|
||||
"//mediapipe/calculators/tensor:inference_calculator_jspb_proto",
|
||||
"//mediapipe/tasks/cc/core/proto:acceleration_jspb_proto",
|
||||
|
|
|
@ -0,0 +1,46 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import {EmbedderOptions as EmbedderOptionsProto} from '../../../../tasks/cc/components/processors/proto/embedder_options_pb';
|
||||
import {EmbedderOptions} from '../../../../tasks/web/core/embedder_options';
|
||||
|
||||
/**
|
||||
* Converts a EmbedderOptions object to its Proto representation, optionally
|
||||
* based on existing definition.
|
||||
* @param options The options object to convert to a Proto. Only options that
|
||||
* are expliclty provided are set.
|
||||
* @param baseOptions A base object that options can be merged into.
|
||||
*/
|
||||
export function convertEmbedderOptionsToProto(
|
||||
options: EmbedderOptions,
|
||||
baseOptions?: EmbedderOptionsProto): EmbedderOptionsProto {
|
||||
const embedderOptions =
|
||||
baseOptions ? baseOptions.clone() : new EmbedderOptionsProto();
|
||||
|
||||
if (options.l2Normalize !== undefined) {
|
||||
embedderOptions.setL2Normalize(options.l2Normalize);
|
||||
} else if ('l2Normalize' in options) { // Check for undefined
|
||||
embedderOptions.clearL2Normalize();
|
||||
}
|
||||
|
||||
if (options.quantize !== undefined) {
|
||||
embedderOptions.setQuantize(options.quantize);
|
||||
} else if ('quantize' in options) { // Check for undefined
|
||||
embedderOptions.clearQuantize();
|
||||
}
|
||||
|
||||
return embedderOptions;
|
||||
}
|
53
mediapipe/tasks/web/components/processors/embedder_result.ts
Normal file
53
mediapipe/tasks/web/components/processors/embedder_result.ts
Normal file
|
@ -0,0 +1,53 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import {Embedding as EmbeddingProto, EmbeddingResult as EmbeddingResultProto} from '../../../../tasks/cc/components/containers/proto/embeddings_pb';
|
||||
import {Embedding, EmbeddingResult} from '../../../../tasks/web/components/containers/embedding_result';
|
||||
|
||||
const DEFAULT_INDEX = -1;
|
||||
|
||||
/**
|
||||
* Converts an Embedding proto to the Embedding object.
|
||||
*/
|
||||
function convertFromEmbeddingsProto(source: EmbeddingProto): Embedding {
|
||||
const embedding: Embedding = {
|
||||
headIndex: source.getHeadIndex() ?? DEFAULT_INDEX,
|
||||
headName: source.getHeadName() ?? '',
|
||||
};
|
||||
|
||||
if (source.hasFloatEmbedding()) {
|
||||
embedding.floatEmbedding = source.getFloatEmbedding()!.getValuesList();
|
||||
} else {
|
||||
const encodedValue = source.getQuantizedEmbedding()?.getValues() ?? '';
|
||||
embedding.quantizedEmbedding = typeof encodedValue == 'string' ?
|
||||
Uint8Array.from(atob(encodedValue), c => c.charCodeAt(0)) : encodedValue;
|
||||
}
|
||||
|
||||
return embedding;
|
||||
}
|
||||
|
||||
/**
|
||||
* Converts an EmbedderResult proto to an EmbeddingResult object.
|
||||
*/
|
||||
export function convertFromEmbeddingResultProto(
|
||||
embeddingResult: EmbeddingResultProto): EmbeddingResult {
|
||||
const result: EmbeddingResult = {
|
||||
embeddings: embeddingResult.getEmbeddingsList().map(
|
||||
e => convertFromEmbeddingsProto(e)),
|
||||
timestampMs: embeddingResult.getTimestampMs(),
|
||||
};
|
||||
return result;
|
||||
}
|
|
@ -31,3 +31,11 @@ mediapipe_ts_library(
|
|||
],
|
||||
deps = [":core"],
|
||||
)
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "embedder_options",
|
||||
srcs = [
|
||||
"embedder_options.d.ts",
|
||||
],
|
||||
deps = [":core"],
|
||||
)
|
||||
|
|
39
mediapipe/tasks/web/core/embedder_options.d.ts
vendored
Normal file
39
mediapipe/tasks/web/core/embedder_options.d.ts
vendored
Normal file
|
@ -0,0 +1,39 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import {BaseOptions} from '../../../tasks/web/core/base_options';
|
||||
|
||||
/** Options to configure the MediaPipe Embedder Task */
|
||||
export declare interface EmbedderOptions {
|
||||
/** Options to configure the loading of the model assets. */
|
||||
baseOptions?: BaseOptions;
|
||||
|
||||
/**
|
||||
* Whether to normalize the returned feature vector with L2 norm. Use this
|
||||
* option only if the model does not already contain a native L2_NORMALIZATION
|
||||
* TF Lite Op. In most cases, this is already the case and L2 norm is thus
|
||||
* achieved through TF Lite inference.
|
||||
*/
|
||||
l2Normalize?: boolean|undefined;
|
||||
|
||||
/**
|
||||
* Whether the returned embedding should be quantized to bytes via scalar
|
||||
* quantization. Embeddings are implicitly assumed to be unit-norm and
|
||||
* therefore any dimension is guaranteed to have a value in [-1.0, 1.0]. Use
|
||||
* the l2_normalize option if this is not the case.
|
||||
*/
|
||||
quantize?: boolean|undefined;
|
||||
}
|
32
mediapipe/tasks/web/text/text_embedder/BUILD
Normal file
32
mediapipe/tasks/web/text/text_embedder/BUILD
Normal file
|
@ -0,0 +1,32 @@
|
|||
# This contains the MediaPipe Text Embedder Task.
|
||||
#
|
||||
# This task takes text input and performs embedding
|
||||
#
|
||||
|
||||
load("//mediapipe/framework/port:build_config.bzl", "mediapipe_ts_library")
|
||||
|
||||
package(default_visibility = ["//mediapipe/tasks:internal"])
|
||||
|
||||
licenses(["notice"])
|
||||
|
||||
mediapipe_ts_library(
|
||||
name = "text_embedder",
|
||||
srcs = [
|
||||
"text_embedder.ts",
|
||||
"text_embedder_options.d.ts",
|
||||
"text_embedder_result.d.ts",
|
||||
],
|
||||
deps = [
|
||||
"//mediapipe/framework:calculator_jspb_proto",
|
||||
"//mediapipe/tasks/cc/components/containers/proto:embeddings_jspb_proto",
|
||||
"//mediapipe/tasks/cc/text/text_embedder/proto:text_embedder_graph_options_jspb_proto",
|
||||
"//mediapipe/tasks/web/components/containers:embedding_result",
|
||||
"//mediapipe/tasks/web/components/processors:base_options",
|
||||
"//mediapipe/tasks/web/components/processors:embedder_options",
|
||||
"//mediapipe/tasks/web/components/processors:embedder_result",
|
||||
"//mediapipe/tasks/web/core",
|
||||
"//mediapipe/tasks/web/core:embedder_options",
|
||||
"//mediapipe/tasks/web/core:task_runner",
|
||||
"//mediapipe/web/graph_runner:wasm_mediapipe_lib_ts",
|
||||
],
|
||||
)
|
173
mediapipe/tasks/web/text/text_embedder/text_embedder.ts
Normal file
173
mediapipe/tasks/web/text/text_embedder/text_embedder.ts
Normal file
|
@ -0,0 +1,173 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import {CalculatorGraphConfig} from '../../../../framework/calculator_pb';
|
||||
import {CalculatorOptions} from '../../../../framework/calculator_options_pb';
|
||||
import {EmbeddingResult} from '../../../../tasks/cc/components/containers/proto/embeddings_pb';
|
||||
import {TextEmbedderGraphOptions as TextEmbedderGraphOptionsProto} from '../../../../tasks/cc/text/text_embedder/proto/text_embedder_graph_options_pb';
|
||||
import {convertBaseOptionsToProto} from '../../../../tasks/web/components/processors/base_options';
|
||||
import {convertEmbedderOptionsToProto} from '../../../../tasks/web/components/processors/embedder_options';
|
||||
import {convertFromEmbeddingResultProto} from '../../../../tasks/web/components/processors/embedder_result';
|
||||
import {TaskRunner} from '../../../../tasks/web/core/task_runner';
|
||||
import {WasmLoaderOptions} from '../../../../tasks/web/core/wasm_loader_options';
|
||||
import {createMediaPipeLib, FileLocator} from '../../../../web/graph_runner/wasm_mediapipe_lib';
|
||||
// Placeholder for internal dependency on trusted resource url
|
||||
|
||||
import {TextEmbedderOptions} from './text_embedder_options';
|
||||
import {TextEmbedderResult} from './text_embedder_result';
|
||||
|
||||
|
||||
// The OSS JS API does not support the builder pattern.
|
||||
// tslint:disable:jspb-use-builder-pattern
|
||||
|
||||
const INPUT_STREAM = 'text_in';
|
||||
const EMBEDDINGS_STREAM = 'embeddings_out';
|
||||
const TEXT_EMBEDDER_CALCULATOR =
|
||||
'mediapipe.tasks.text.text_embedder.TextEmbedderGraph';
|
||||
|
||||
/**
|
||||
* Performs embedding extraction on text.
|
||||
*/
|
||||
export class TextEmbedder extends TaskRunner {
|
||||
private embeddingResult: TextEmbedderResult = {embeddings: []};
|
||||
private readonly options = new TextEmbedderGraphOptionsProto();
|
||||
|
||||
/**
|
||||
* Initializes the Wasm runtime and creates a new text embedder from the
|
||||
* provided options.
|
||||
* @param wasmLoaderOptions A configuration object that provides the location
|
||||
* of the Wasm binary and its loader.
|
||||
* @param textEmbedderOptions The options for the text embedder. Note that
|
||||
* either a path to the TFLite model or the model itself needs to be
|
||||
* provided (via `baseOptions`).
|
||||
*/
|
||||
static async createFromOptions(
|
||||
wasmLoaderOptions: WasmLoaderOptions,
|
||||
textEmbedderOptions: TextEmbedderOptions): Promise<TextEmbedder> {
|
||||
// Create a file locator based on the loader options
|
||||
const fileLocator: FileLocator = {
|
||||
locateFile() {
|
||||
// The only file we load is the Wasm binary
|
||||
return wasmLoaderOptions.wasmBinaryPath.toString();
|
||||
}
|
||||
};
|
||||
|
||||
const embedder = await createMediaPipeLib(
|
||||
TextEmbedder, wasmLoaderOptions.wasmLoaderPath,
|
||||
/* assetLoaderScript= */ undefined,
|
||||
/* glCanvas= */ undefined, fileLocator);
|
||||
await embedder.setOptions(textEmbedderOptions);
|
||||
return embedder;
|
||||
}
|
||||
|
||||
/**
|
||||
* Initializes the Wasm runtime and creates a new text embedder based on the
|
||||
* provided model asset buffer.
|
||||
* @param wasmLoaderOptions A configuration object that provides the location
|
||||
* of the Wasm binary and its loader.
|
||||
* @param modelAssetBuffer A binary representation of the TFLite model.
|
||||
*/
|
||||
static createFromModelBuffer(
|
||||
wasmLoaderOptions: WasmLoaderOptions,
|
||||
modelAssetBuffer: Uint8Array): Promise<TextEmbedder> {
|
||||
return TextEmbedder.createFromOptions(
|
||||
wasmLoaderOptions, {baseOptions: {modelAssetBuffer}});
|
||||
}
|
||||
|
||||
/**
|
||||
* Initializes the Wasm runtime and creates a new text embedder based on the
|
||||
* path to the model asset.
|
||||
* @param wasmLoaderOptions A configuration object that provides the location
|
||||
* of the Wasm binary and its loader.
|
||||
* @param modelAssetPath The path to the TFLite model.
|
||||
*/
|
||||
static async createFromModelPath(
|
||||
wasmLoaderOptions: WasmLoaderOptions,
|
||||
modelAssetPath: string): Promise<TextEmbedder> {
|
||||
const response = await fetch(modelAssetPath.toString());
|
||||
const graphData = await response.arrayBuffer();
|
||||
return TextEmbedder.createFromModelBuffer(
|
||||
wasmLoaderOptions, new Uint8Array(graphData));
|
||||
}
|
||||
|
||||
/**
|
||||
* Sets new options for the text embedder.
|
||||
*
|
||||
* Calling `setOptions()` with a subset of options only affects those options.
|
||||
* You can reset an option back to its default value by explicitly setting it
|
||||
* to `undefined`.
|
||||
*
|
||||
* @param options The options for the text embedder.
|
||||
*/
|
||||
async setOptions(options: TextEmbedderOptions): Promise<void> {
|
||||
if (options.baseOptions) {
|
||||
const baseOptionsProto = await convertBaseOptionsToProto(
|
||||
options.baseOptions, this.options.getBaseOptions());
|
||||
this.options.setBaseOptions(baseOptionsProto);
|
||||
}
|
||||
|
||||
this.options.setEmbedderOptions(convertEmbedderOptionsToProto(
|
||||
options, this.options.getEmbedderOptions()));
|
||||
|
||||
this.refreshGraph();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Performs embeding extraction on the provided text and waits synchronously
|
||||
* for the response.
|
||||
*
|
||||
* @param text The text to process.
|
||||
* @return The embedding resuls of the text
|
||||
*/
|
||||
embed(text: string): TextEmbedderResult {
|
||||
// Get text embeddings by running our MediaPipe graph.
|
||||
this.addStringToStream(
|
||||
text, INPUT_STREAM, /* timestamp= */ performance.now());
|
||||
this.finishProcessing();
|
||||
return this.embeddingResult;
|
||||
}
|
||||
|
||||
/** Updates the MediaPipe graph configuration. */
|
||||
private refreshGraph(): void {
|
||||
const graphConfig = new CalculatorGraphConfig();
|
||||
graphConfig.addInputStream(INPUT_STREAM);
|
||||
graphConfig.addOutputStream(EMBEDDINGS_STREAM);
|
||||
|
||||
const calculatorOptions = new CalculatorOptions();
|
||||
calculatorOptions.setExtension(
|
||||
TextEmbedderGraphOptionsProto.ext, this.options);
|
||||
|
||||
const embedderNode = new CalculatorGraphConfig.Node();
|
||||
embedderNode.setCalculator(TEXT_EMBEDDER_CALCULATOR);
|
||||
embedderNode.addInputStream('TEXT:' + INPUT_STREAM);
|
||||
embedderNode.addOutputStream('EMBEDDINGS:' + EMBEDDINGS_STREAM);
|
||||
embedderNode.setOptions(calculatorOptions);
|
||||
|
||||
graphConfig.addNode(embedderNode);
|
||||
|
||||
this.attachProtoListener(EMBEDDINGS_STREAM, binaryProto => {
|
||||
const embeddingResult = EmbeddingResult.deserializeBinary(binaryProto);
|
||||
this.embeddingResult = convertFromEmbeddingResultProto(embeddingResult);
|
||||
});
|
||||
|
||||
const binaryGraph = graphConfig.serializeBinary();
|
||||
this.setGraph(new Uint8Array(binaryGraph), /* isBinary= */ true);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
17
mediapipe/tasks/web/text/text_embedder/text_embedder_options.d.ts
vendored
Normal file
17
mediapipe/tasks/web/text/text_embedder/text_embedder_options.d.ts
vendored
Normal file
|
@ -0,0 +1,17 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
export {EmbedderOptions as TextEmbedderOptions} from '../../../../tasks/web/core/embedder_options';
|
17
mediapipe/tasks/web/text/text_embedder/text_embedder_result.d.ts
vendored
Normal file
17
mediapipe/tasks/web/text/text_embedder/text_embedder_result.d.ts
vendored
Normal file
|
@ -0,0 +1,17 @@
|
|||
/**
|
||||
* Copyright 2022 The MediaPipe Authors. All Rights Reserved.
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
export {Embedding, EmbeddingResult as TextEmbedderResult} from '../../../../tasks/web/components/containers/embedding_result';
|
Loading…
Reference in New Issue
Block a user