text stringlengths 96 319k | id stringlengths 14 178 | metadata dict |
|---|---|---|
import { useEffect, useState, useRef } from 'react';
import Chat from './components/Chat';
import ArrowRightIcon from './components/icons/ArrowRightIcon';
import StopIcon from './components/icons/StopIcon';
import Progress from './components/Progress';
import ImageIcon from './components/icons/ImageIcon';
import Image... | transformers.js/examples/webgpu-vlm/src/App.jsx/0 | {
"file_path": "transformers.js/examples/webgpu-vlm/src/App.jsx",
"repo_id": "transformers.js",
"token_count": 5623
} |
{
"name": "@huggingface/transformers",
"version": "3.3.3",
"description": "State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!",
"main": "./src/transformers.js",
"types": "./types/transformers.d.ts",
"type": "module",
"exports": {
"no... | transformers.js/package.json/0 | {
"file_path": "transformers.js/package.json",
"repo_id": "transformers.js",
"token_count": 1269
} |
import { Callable } from "../utils/generic.js";
import { Tensor, interpolate, stack } from "../utils/tensor.js";
import { bankers_round, max, min, softmax } from "../utils/maths.js";
import { RawImage } from "../utils/image.js";
import { calculateReflectOffset } from "../utils/core.js";
import { getModelJSON } from "..... | transformers.js/src/base/image_processors_utils.js/0 | {
"file_path": "transformers.js/src/base/image_processors_utils.js",
"repo_id": "transformers.js",
"token_count": 18487
} |
import { Processor } from "../../base/processing_utils.js";
import { AutoImageProcessor } from "../auto/image_processing_auto.js";
import { AutoTokenizer } from "../../tokenizers.js";
import { RawImage } from "../../utils/image.js";
import { count } from "../../utils/core.js";
/**
* Prompt with expanded image tokens... | transformers.js/src/models/idefics3/processing_idefics3.js/0 | {
"file_path": "transformers.js/src/models/idefics3/processing_idefics3.js",
"repo_id": "transformers.js",
"token_count": 2081
} |
import { AutoFeatureExtractor } from "../auto/feature_extraction_auto.js"
import { AutoTokenizer } from "../../tokenizers.js"
import { Processor } from "../../base/processing_utils.js"
/**
* Represents a MoonshineProcessor that extracts features from an audio input.
*/
export class MoonshineProcessor extends Process... | transformers.js/src/models/moonshine/processing_moonshine.js/0 | {
"file_path": "transformers.js/src/models/moonshine/processing_moonshine.js",
"repo_id": "transformers.js",
"token_count": 230
} |
import { Processor } from "../../base/processing_utils.js";
import { AutoImageProcessor } from "../auto/image_processing_auto.js";
export class SamProcessor extends Processor {
static image_processor_class = AutoImageProcessor
async _call(...args) {
return await this.image_processor(...args);
}
... | transformers.js/src/models/sam/processing_sam.js/0 | {
"file_path": "transformers.js/src/models/sam/processing_sam.js",
"repo_id": "transformers.js",
"token_count": 216
} |
import { FeatureExtractor, validate_audio_inputs } from '../../base/feature_extraction_utils.js';
import { Tensor } from '../../utils/tensor.js';
import { mel_filter_bank, spectrogram, window_function } from '../../utils/audio.js';
import { max } from '../../utils/maths.js';
export class WhisperFeatureExtractor extend... | transformers.js/src/models/whisper/feature_extraction_whisper.js/0 | {
"file_path": "transformers.js/src/models/whisper/feature_extraction_whisper.js",
"repo_id": "transformers.js",
"token_count": 1401
} |
/**
* @file Helper module for image processing.
*
* These functions and classes are only used internally,
* meaning an end-user shouldn't need to access anything here.
*
* @module utils/image
*/
import { isNullishDimension, saveBlob } from './core.js';
import { getFile } from './hub.js';
import { apis } from '... | transformers.js/src/utils/image.js/0 | {
"file_path": "transformers.js/src/utils/image.js",
"repo_id": "transformers.js",
"token_count": 13731
} |
import { BlenderbotSmallTokenizer } from "../../../src/tokenizers.js";
import { BASE_TEST_STRINGS, BLENDERBOT_SMALL_TEST_STRINGS } from "../test_strings.js";
export const TOKENIZER_CLASS = BlenderbotSmallTokenizer;
// NOTE: `.tokenize()` is disabled for BlenderbotSmallTokenizer
export const TEST_CONFIG = {
"Xenova/... | transformers.js/tests/models/blenderbot_small/test_tokenization_blenderbot_small.js/0 | {
"file_path": "transformers.js/tests/models/blenderbot_small/test_tokenization_blenderbot_small.js",
"repo_id": "transformers.js",
"token_count": 3493
} |
import { EfficientNetImageProcessor } from "../../../src/transformers.js";
import { load_cached_image } from "../../asset_cache.js";
import { MAX_TEST_EXECUTION_TIME } from "../../init.js";
export default () => {
// EfficientNetImageProcessor
// - tests include_top
describe("EfficientNetImageProcessor", () => ... | transformers.js/tests/models/efficientnet/test_image_processing_efficientnet.js/0 | {
"file_path": "transformers.js/tests/models/efficientnet/test_image_processing_efficientnet.js",
"repo_id": "transformers.js",
"token_count": 637
} |
import { LlamaTokenizer, MistralForCausalLM } from "../../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
describe("MistralForCausalLM", () => {
const model_id = "hf-internal-testing/tiny... | transformers.js/tests/models/mistral/test_modeling_mistral.js/0 | {
"file_path": "transformers.js/tests/models/mistral/test_modeling_mistral.js",
"repo_id": "transformers.js",
"token_count": 768
} |
import { PatchTSMixerModel, PatchTSMixerForPrediction, Tensor } from "../../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
const dims = [64, 512, 7];
const prod = dims.reduce((a, b) => a *... | transformers.js/tests/models/patchtsmixer/test_modeling_patchtsmixer.js/0 | {
"file_path": "transformers.js/tests/models/patchtsmixer/test_modeling_patchtsmixer.js",
"repo_id": "transformers.js",
"token_count": 887
} |
import { pipeline, DepthEstimationPipeline } from "../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js";
import { load_cached_image } from "../asset_cache.js";
const PIPELINE_ID = "depth-estimation";
export default () => ... | transformers.js/tests/pipelines/test_pipelines_depth_estimation.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_depth_estimation.js",
"repo_id": "transformers.js",
"token_count": 917
} |
import { pipeline, TokenClassificationPipeline } from "../../src/transformers.js";
import { MAX_MODEL_LOAD_TIME, MAX_TEST_EXECUTION_TIME, MAX_MODEL_DISPOSE_TIME, DEFAULT_MODEL_OPTIONS } from "../init.js";
const PIPELINE_ID = "token-classification";
export default () => {
describe("Token Classification", () => {
... | transformers.js/tests/pipelines/test_pipelines_token_classification.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_token_classification.js",
"repo_id": "transformers.js",
"token_count": 2608
} |
import { Tensor, interpolate_4d, matmul, rfft, slice } from "../../src/transformers.js";
import { init } from "../init.js";
// Initialise the testing environment
init();
function expectToBeCloseToArray(actual, expected) {
expect(actual.length).toEqual(expected.length);
actual.forEach((x, i) => expect(x).toBeClose... | transformers.js/tests/utils/tensor_ops.test.js/0 | {
"file_path": "transformers.js/tests/utils/tensor_ops.test.js",
"repo_id": "transformers.js",
"token_count": 6379
} |
import argparse
import importlib.util
import logging
import os
from typing import Dict
import psycopg2
import sys
from psycopg2.extras import Json
from psycopg2.extensions import register_adapter
register_adapter(dict, Json)
class ImportModuleException(Exception):
pass
class MetricsRecorder:
def __init__... | transformers/benchmark/benchmarks_entrypoint.py/0 | {
"file_path": "transformers/benchmark/benchmarks_entrypoint.py",
"repo_id": "transformers",
"token_count": 2117
} |
FROM python:3.9-slim
ENV PYTHONDONTWRITEBYTECODE=1
ARG REF=main
USER root
RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git g++ cmake
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv venv && uv pip install --no-cache-dir -U pip setuptools
RUN pip install --no-cache-... | transformers/docker/jax-light.dockerfile/0 | {
"file_path": "transformers/docker/jax-light.dockerfile",
"repo_id": "transformers",
"token_count": 227
} |
FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update
RUN apt install -y git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-pip ffmpeg
RUN python3 -m pip install --no-cache-dir --upgrade pip
ARG REF=main
RUN git clone https://githu... | transformers/docker/transformers-pytorch-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 611
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/ar/tasks/language_modeling.md/0 | {
"file_path": "transformers/docs/source/ar/tasks/language_modeling.md",
"repo_id": "transformers",
"token_count": 9379
} |
# docstyle-ignore
INSTALL_CONTENT = """
# Transformers installation
! pip install transformers datasets evaluate accelerate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""
notebook_f... | transformers/docs/source/de/_config.py/0 | {
"file_path": "transformers/docs/source/de/_config.py",
"repo_id": "transformers",
"token_count": 157
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/de/run_scripts.md/0 | {
"file_path": "transformers/docs/source/de/run_scripts.md",
"repo_id": "transformers",
"token_count": 7515
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/en/chat_templating.md/0 | {
"file_path": "transformers/docs/source/en/chat_templating.md",
"repo_id": "transformers",
"token_count": 15204
} |
<!---
Copyright 2022 The HuggingFace Team. 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 ... | transformers/docs/source/en/installation.md/0 | {
"file_path": "transformers/docs/source/en/installation.md",
"repo_id": "transformers",
"token_count": 3233
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/callback.md",
"repo_id": "transformers",
"token_count": 1520
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/main_classes/text_generation.md/0 | {
"file_path": "transformers/docs/source/en/main_classes/text_generation.md",
"repo_id": "transformers",
"token_count": 589
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/bert-generation.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bert-generation.md",
"repo_id": "transformers",
"token_count": 1326
} |
<!--Copyright 2021 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/byt5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/byt5.md",
"repo_id": "transformers",
"token_count": 2292
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/convnext.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/convnext.md",
"repo_id": "transformers",
"token_count": 1244
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/electra.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/electra.md",
"repo_id": "transformers",
"token_count": 2211
} |
<!--Copyright 2021 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/gptj.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/gptj.md",
"repo_id": "transformers",
"token_count": 2807
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/llama.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/llama.md",
"repo_id": "transformers",
"token_count": 2384
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/markuplm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/markuplm.md",
"repo_id": "transformers",
"token_count": 3443
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/mobilebert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilebert.md",
"repo_id": "transformers",
"token_count": 1548
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/nat.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nat.md",
"repo_id": "transformers",
"token_count": 1320
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/owlvit.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/owlvit.md",
"repo_id": "transformers",
"token_count": 1993
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/pop2piano.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/pop2piano.md",
"repo_id": "transformers",
"token_count": 2624
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/resnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/resnet.md",
"repo_id": "transformers",
"token_count": 1253
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/siglip.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/siglip.md",
"repo_id": "transformers",
"token_count": 3075
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/t5.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/t5.md",
"repo_id": "transformers",
"token_count": 7103
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/vit_msn.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_msn.md",
"repo_id": "transformers",
"token_count": 2134
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/model_doc/xlm-roberta.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-roberta.md",
"repo_id": "transformers",
"token_count": 3907
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/multilingual.md/0 | {
"file_path": "transformers/docs/source/en/multilingual.md",
"repo_id": "transformers",
"token_count": 2588
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/en/perplexity.md/0 | {
"file_path": "transformers/docs/source/en/perplexity.md",
"repo_id": "transformers",
"token_count": 2464
} |
<!--Copyright 2024 The HuggingFace Team. 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... | transformers/docs/source/en/quantization/hqq.md/0 | {
"file_path": "transformers/docs/source/en/quantization/hqq.md",
"repo_id": "transformers",
"token_count": 840
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/en/tasks/image_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/image_classification.md",
"repo_id": "transformers",
"token_count": 6144
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/en/trainer.md/0 | {
"file_path": "transformers/docs/source/en/trainer.md",
"repo_id": "transformers",
"token_count": 9515
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/es/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/es/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 987
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/es/run_scripts.md/0 | {
"file_path": "transformers/docs/source/es/run_scripts.md",
"repo_id": "transformers",
"token_count": 7013
} |
# docstyle-ignore
INSTALL_CONTENT = """
# Installation de Transformers
! pip install transformers datasets evaluate accelerate
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transform... | transformers/docs/source/fr/_config.py/0 | {
"file_path": "transformers/docs/source/fr/_config.py",
"repo_id": "transformers",
"token_count": 175
} |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rapido
- local: installation
title: Installazione
title: Iniziare
- sections:
- local: pipeline_tutorial
title: Pipeline per l'inferenza
- local: autoclass_tutorial
title: Carica istanze pre-allenate con Aut... | transformers/docs/source/it/_toctree.yml/0 | {
"file_path": "transformers/docs/source/it/_toctree.yml",
"repo_id": "transformers",
"token_count": 771
} |
<!---
Copyright 2022 The HuggingFace Team. 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 ... | transformers/docs/source/it/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/it/perf_hardware.md",
"repo_id": "transformers",
"token_count": 3024
} |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: クイックツアー
- local: installation
title: インストール
title: Get started
- sections:
- local: pipeline_tutorial
title: パイプラインを使用して推論を実行する
- local: autoclass_tutorial
title: AutoClass を使用して移植可能なコードを作成する
- local: preproces... | transformers/docs/source/ja/_toctree.yml/0 | {
"file_path": "transformers/docs/source/ja/_toctree.yml",
"repo_id": "transformers",
"token_count": 5765
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/ja/main_classes/deepspeed.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/deepspeed.md",
"repo_id": "transformers",
"token_count": 49455
} |
<!--Copyright 2023 The HuggingFace Team. 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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/align.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/align.md",
"repo_id": "transformers",
"token_count": 2911
} |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/biogpt.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/biogpt.md",
"repo_id": "transformers",
"token_count": 1982
} |
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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... | transformers/docs/source/ja/model_doc/clipseg.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/clipseg.md",
"repo_id": "transformers",
"token_count": 2201
} |
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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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/model_doc/deformable_detr.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deformable_detr.md",
"repo_id": "transformers",
"token_count": 1792
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/ja/perf_infer_gpu_one.md/0 | {
"file_path": "transformers/docs/source/ja/perf_infer_gpu_one.md",
"repo_id": "transformers",
"token_count": 9349
} |
<!--
Copyright 2023 The HuggingFace Team. 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 agree... | transformers/docs/source/ja/preprocessing.md/0 | {
"file_path": "transformers/docs/source/ja/preprocessing.md",
"repo_id": "transformers",
"token_count": 12720
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/ja/tasks/multiple_choice.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/multiple_choice.md",
"repo_id": "transformers",
"token_count": 7534
} |
<!--Copyright 2023 The HuggingFace Team. 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
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Unless required by applicable law or agreed... | transformers/docs/source/ja/tf_xla.md/0 | {
"file_path": "transformers/docs/source/ja/tf_xla.md",
"repo_id": "transformers",
"token_count": 4413
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/ko/chat_templating.md/0 | {
"file_path": "transformers/docs/source/ko/chat_templating.md",
"repo_id": "transformers",
"token_count": 29216
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/ko/internal/audio_utils.md/0 | {
"file_path": "transformers/docs/source/ko/internal/audio_utils.md",
"repo_id": "transformers",
"token_count": 739
} |
<!--Copyright (c) Meta Platforms, Inc. and affiliates.
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... | transformers/docs/source/ko/main_classes/executorch.md/0 | {
"file_path": "transformers/docs/source/ko/main_classes/executorch.md",
"repo_id": "transformers",
"token_count": 1257
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/ko/model_doc/bert-japanese.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/bert-japanese.md",
"repo_id": "transformers",
"token_count": 1393
} |
<!--Copyright 2024 The HuggingFace Team. 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 agree... | transformers/docs/source/ko/model_doc/gemma2.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/gemma2.md",
"repo_id": "transformers",
"token_count": 1671
} |
<!--Copyright 2022 The HuggingFace Team. 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... | transformers/docs/source/ko/model_doc/swin.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/swin.md",
"repo_id": "transformers",
"token_count": 3293
} |
<!---
Copyright 2022 The HuggingFace Team. 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 ... | transformers/docs/source/ko/perf_hardware.md/0 | {
"file_path": "transformers/docs/source/ko/perf_hardware.md",
"repo_id": "transformers",
"token_count": 6024
} |
<!--Copyright 2024 The HuggingFace Team. 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... | transformers/docs/source/ko/quantization/bitsandbytes.md/0 | {
"file_path": "transformers/docs/source/ko/quantization/bitsandbytes.md",
"repo_id": "transformers",
"token_count": 8138
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/ko/tasks/image_to_image.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/image_to_image.md",
"repo_id": "transformers",
"token_count": 3237
} |
<!--Copyright 2023 The HuggingFace Team. 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... | transformers/docs/source/ko/tasks/visual_question_answering.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/visual_question_answering.md",
"repo_id": "transformers",
"token_count": 11261
} |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Tour rápido
- local: installation
title: Instalação
title: Início
- sections:
- local: pipeline_tutorial
title: Pipelines para inferência
- local: training
title: Fine-tuning de um modelo pré-treinado
- local: ... | transformers/docs/source/pt/_toctree.yml/0 | {
"file_path": "transformers/docs/source/pt/_toctree.yml",
"repo_id": "transformers",
"token_count": 424
} |
<!---
Copyright 2020 The HuggingFace Team. 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 ... | transformers/docs/source/zh/contributing.md/0 | {
"file_path": "transformers/docs/source/zh/contributing.md",
"repo_id": "transformers",
"token_count": 10557
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/zh/main_classes/output.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/output.md",
"repo_id": "transformers",
"token_count": 3318
} |
<!--Copyright 2020 The HuggingFace Team. 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... | transformers/docs/source/zh/philosophy.md/0 | {
"file_path": "transformers/docs/source/zh/philosophy.md",
"repo_id": "transformers",
"token_count": 3241
} |
# coding=utf-8
# Copyright 2020 The HuggingFace Team 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 require... | transformers/examples/flax/question-answering/utils_qa.py/0 | {
"file_path": "transformers/examples/flax/question-answering/utils_qa.py",
"repo_id": "transformers",
"token_count": 9469
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The HuggingFace Team 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-... | transformers/examples/flax/vision/run_image_classification.py/0 | {
"file_path": "transformers/examples/flax/vision/run_image_classification.py",
"repo_id": "transformers",
"token_count": 9576
} |
# Copyright 2020 The HuggingFace Team. 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 applicabl... | transformers/examples/legacy/seq2seq/old_test_calculate_rouge.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/old_test_calculate_rouge.py",
"repo_id": "transformers",
"token_count": 1793
} |
# Copyright 2020 The HuggingFace Team. 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 applicabl... | transformers/examples/legacy/seq2seq/seq2seq_trainer.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/seq2seq_trainer.py",
"repo_id": "transformers",
"token_count": 4874
} |
# Copyright 2020 The HuggingFace Team. 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 applicabl... | transformers/examples/legacy/seq2seq/utils.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/utils.py",
"repo_id": "transformers",
"token_count": 10920
} |
#!/bin/bash
# Iterate over each file in the current directory
for file in examples/modular-transformers/modular_*; do
# Check if it's a regular file
if [ -f "$file" ]; then
# Call the Python script with the file name as an argument
python utils/modular_model_converter.py --files_to_parse "$file... | transformers/examples/modular-transformers/convert_examples.sh/0 | {
"file_path": "transformers/examples/modular-transformers/convert_examples.sh",
"repo_id": "transformers",
"token_count": 118
} |
# Copyright 2020 The HuggingFace Team. 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 applicabl... | transformers/examples/pytorch/conftest.py/0 | {
"file_path": "transformers/examples/pytorch/conftest.py",
"repo_id": "transformers",
"token_count": 480
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2024 The HuggingFace Inc. team. 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/LI... | transformers/examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py",
"repo_id": "transformers",
"token_count": 12442
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. 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/LI... | transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py/0 | {
"file_path": "transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation.py",
"repo_id": "transformers",
"token_count": 7226
} |
<!---
Copyright 2020 The HuggingFace Team. 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 ... | transformers/examples/pytorch/text-classification/README.md/0 | {
"file_path": "transformers/examples/pytorch/text-classification/README.md",
"repo_id": "transformers",
"token_count": 4154
} |
<!---
Copyright 2020 The HuggingFace Team. 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 ... | transformers/examples/pytorch/translation/README.md/0 | {
"file_path": "transformers/examples/pytorch/translation/README.md",
"repo_id": "transformers",
"token_count": 2750
} |
import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_with_pabee
from transformers.testing_utils import TestCasePlus
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
def get_setup_file():
parser = argparse.ArgumentParser()
parser.add_argument("-f")... | transformers/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py/0 | {
"file_path": "transformers/examples/research_projects/bert-loses-patience/test_run_glue_with_pabee.py",
"repo_id": "transformers",
"token_count": 675
} |
import argparse
from copy import deepcopy
import numpy as np
from datasets import ClassLabel, DatasetDict, load_dataset
from evaluate import load
from transformers import (
AutoModelForSequenceClassification,
AutoTokenizer,
DataCollatorWithPadding,
Trainer,
TrainerCallback,
TrainingArguments,
... | transformers/examples/research_projects/codeparrot/examples/train_complexity_predictor.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/examples/train_complexity_predictor.py",
"repo_id": "transformers",
"token_count": 1799
} |
#!/bin/bash
export CUDA_VISIBLE_DEVICES=0
PATH_TO_DATA=/h/xinji/projects/GLUE
MODEL_TYPE=bert # bert or roberta
MODEL_SIZE=base # base or large
DATASET=MRPC # SST-2, MRPC, RTE, QNLI, QQP, or MNLI
MODEL_NAME=${MODEL_TYPE}-${MODEL_SIZE}
if [ $MODEL_TYPE = 'bert' ]
then
MODEL_NAME=${MODEL_NAME}-uncased
fi
ENTROPI... | transformers/examples/research_projects/deebert/entropy_eval.sh/0 | {
"file_path": "transformers/examples/research_projects/deebert/entropy_eval.sh",
"repo_id": "transformers",
"token_count": 437
} |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team.
#
# 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 a... | transformers/examples/research_projects/distillation/scripts/extract.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/scripts/extract.py",
"repo_id": "transformers",
"token_count": 2039
} |
import torch
from transformers import AutoTokenizer
class FSNERTokenizerUtils:
def __init__(self, pretrained_model_name_or_path):
self.tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path)
def tokenize(self, x):
"""
Wrapper function for tokenizing query and support... | transformers/examples/research_projects/fsner/src/fsner/tokenizer_utils.py/0 | {
"file_path": "transformers/examples/research_projects/fsner/src/fsner/tokenizer_utils.py",
"repo_id": "transformers",
"token_count": 2146
} |
<!---
Copyright 2021 The HuggingFace Team. 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 ... | transformers/examples/research_projects/jax-projects/dataset-streaming/README.md/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/dataset-streaming/README.md",
"repo_id": "transformers",
"token_count": 1475
} |
import datasets
import faiss
import numpy as np
import streamlit as st
import torch
from elasticsearch import Elasticsearch
from eli5_utils import (
embed_questions_for_retrieval,
make_qa_s2s_model,
qa_s2s_generate,
query_es_index,
query_qa_dense_index,
)
import transformers
from transformers impor... | transformers/examples/research_projects/longform-qa/eli5_app.py/0 | {
"file_path": "transformers/examples/research_projects/longform-qa/eli5_app.py",
"repo_id": "transformers",
"token_count": 5823
} |
import argparse
import json
from typing import List
from ltp import LTP
from transformers.models.bert.tokenization_bert import BertTokenizer
def _is_chinese_char(cp):
"""Checks whether CP is the codepoint of a CJK character."""
# This defines a "chinese character" as anything in the CJK Unicode block:
#... | transformers/examples/research_projects/mlm_wwm/run_chinese_ref.py/0 | {
"file_path": "transformers/examples/research_projects/mlm_wwm/run_chinese_ref.py",
"repo_id": "transformers",
"token_count": 2544
} |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | transformers/examples/research_projects/movement-pruning/masked_run_squad.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/masked_run_squad.py",
"repo_id": "transformers",
"token_count": 21548
} |
from torch import nn
class ClassificationHead(nn.Module):
"""Classification Head for transformer encoders"""
def __init__(self, class_size, embed_size):
super().__init__()
self.class_size = class_size
self.embed_size = embed_size
# self.mlp1 = nn.Linear(embed_size, embed_size... | transformers/examples/research_projects/pplm/pplm_classification_head.py/0 | {
"file_path": "transformers/examples/research_projects/pplm/pplm_classification_head.py",
"repo_id": "transformers",
"token_count": 281
} |
"""Finetuning script for RAG models. Adapted from examples.seq2seq.finetune.py"""
import argparse
import copy
import json
import logging
import multiprocessing
import os
import random
import shutil
import sys
import time
from collections import defaultdict
from pathlib import Path
from typing import Any, Dict, List, T... | transformers/examples/research_projects/rag-end2end-retriever/finetune_rag.py/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/finetune_rag.py",
"repo_id": "transformers",
"token_count": 15752
} |
# Intro
Authors: @patrickvonplaten and @lhoestq
Aimed at tackling the knowledge-intensive NLP tasks (think tasks a human wouldn't be expected to solve without access to external knowledge sources), RAG models are seq2seq models with access to a retrieval mechanism providing relevant context documents at training and ... | transformers/examples/research_projects/rag/README.md/0 | {
"file_path": "transformers/examples/research_projects/rag/README.md",
"repo_id": "transformers",
"token_count": 3287
} |
import logging
import os
from dataclasses import dataclass, field
from functools import partial
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import List, Optional
import faiss
import torch
from datasets import Features, Sequence, Value, load_dataset
from transformers import (
DPRCo... | transformers/examples/research_projects/rag/use_own_knowledge_dataset.py/0 | {
"file_path": "transformers/examples/research_projects/rag/use_own_knowledge_dataset.py",
"repo_id": "transformers",
"token_count": 2996
} |
import logging
from pathlib import Path
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.utilities import rank_zero_only
from utils import save_json
def count_trainable_parameters(model):
model_parameters... | transformers/examples/research_projects/seq2seq-distillation/callbacks.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/callbacks.py",
"repo_id": "transformers",
"token_count": 1944
} |
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