text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
/**
* @file Pipelines provide a high-level, easy to use, API for running machine learning models.
*
* **Example:** Instantiate pipeline using the `pipeline` function.
* ```javascript
* import { pipeline } from '@huggingface/transformers';
*
* const classifier = await pipeline('sentiment-analysis');
* const ou... | transformers.js/src/pipelines.js/0 | {
"file_path": "transformers.js/src/pipelines.js",
"repo_id": "transformers.js",
"token_count": 55335
} | 300 |
import { AutoConfig, env } from "../src/transformers.js";
import { getFile } from "../src/utils/hub.js";
// Initialise the testing environment
env.allowLocalModels = false;
env.useFSCache = false;
const TEST_DATA = {
"Xenova/bert-base-uncased": {
model_type: "bert",
},
};
describe("Configs", () => {
for (c... | transformers.js/tests/configs.test.js/0 | {
"file_path": "transformers.js/tests/configs.test.js",
"repo_id": "transformers.js",
"token_count": 238
} | 301 |
import { AutoTokenizer, AutoProcessor, load_image, CLIPVisionModelWithProjection, CLIPTextModelWithProjection } from "../../../src/transformers.js";
import { MAX_TEST_EXECUTION_TIME, DEFAULT_MODEL_OPTIONS } from "../../init.js";
export default () => {
const models_to_test = ["hf-internal-testing/tiny-random-CLIPMod... | transformers.js/tests/models/clip/test_modeling_clip.js/0 | {
"file_path": "transformers.js/tests/models/clip/test_modeling_clip.js",
"repo_id": "transformers.js",
"token_count": 787
} | 302 |
import { GemmaTokenizer, GemmaForCausalLM } 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("GemmaForCausalLM", () => {
const model_id = "Xenova/tiny-random-GemmaForC... | transformers.js/tests/models/gemma/test_modeling_gemma.js/0 | {
"file_path": "transformers.js/tests/models/gemma/test_modeling_gemma.js",
"repo_id": "transformers.js",
"token_count": 806
} | 303 |
import { Idefics3Processor, Idefics3ForConditionalGeneration, RawImage } 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 conversation = [
{
role: "user",
con... | transformers.js/tests/models/idefics3/test_modeling_idefics3.js/0 | {
"file_path": "transformers.js/tests/models/idefics3/test_modeling_idefics3.js",
"repo_id": "transformers.js",
"token_count": 2233
} | 304 |
import { MPNetTokenizer } from "../../../src/tokenizers.js";
import { BASE_TEST_STRINGS } from "../test_strings.js";
export const TOKENIZER_CLASS = MPNetTokenizer;
export const TEST_CONFIG = {
"Xenova/all-mpnet-base-v2": {
SIMPLE: {
text: BASE_TEST_STRINGS.SIMPLE,
tokens: ["how", "are", "you", "doing... | transformers.js/tests/models/mpnet/test_tokenization_mpnet.js/0 | {
"file_path": "transformers.js/tests/models/mpnet/test_tokenization_mpnet.js",
"repo_id": "transformers.js",
"token_count": 3834
} | 305 |
import { VitsTokenizer } from "../../../src/tokenizers.js";
import { BASE_TEST_STRINGS, VITS_TEST_STRINGS } from "../test_strings.js";
export const TOKENIZER_CLASS = VitsTokenizer;
export const TEST_CONFIG = {
"Xenova/mms-tts-eng": {
SIMPLE: {
text: BASE_TEST_STRINGS.SIMPLE,
tokens: ["k", "h", "k", "... | transformers.js/tests/models/vits/test_tokenization_vits.js/0 | {
"file_path": "transformers.js/tests/models/vits/test_tokenization_vits.js",
"repo_id": "transformers.js",
"token_count": 2597
} | 306 |
import { pipeline, ImageFeatureExtractionPipeline } 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 = "image-feature-extraction";
export... | transformers.js/tests/pipelines/test_pipelines_image_feature_extraction.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_image_feature_extraction.js",
"repo_id": "transformers.js",
"token_count": 1475
} | 307 |
import { pipeline, ZeroShotObjectDetectionPipeline } 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 = "zero-shot-object-detection";
exp... | transformers.js/tests/pipelines/test_pipelines_zero_shot_object_detection.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_zero_shot_object_detection.js",
"repo_id": "transformers.js",
"token_count": 3154
} | 308 |
version: 2.1
setup: true
orbs:
continuation: circleci/continuation@0.1.0
parameters:
nightly:
type: boolean
default: false
jobs:
# Ensure running with CircleCI/huggingface
check_circleci_user:
docker:
- image: python:3.10-slim
resource_class: small
p... | transformers/.circleci/config.yml/0 | {
"file_path": "transformers/.circleci/config.yml",
"repo_id": "transformers",
"token_count": 4628
} | 309 |
from logging import Logger
import os
from threading import Event, Thread
from time import perf_counter, sleep
from typing import Optional
from benchmarks_entrypoint import MetricsRecorder
import gpustat
import psutil
import psycopg2
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationC... | transformers/benchmark/llama.py/0 | {
"file_path": "transformers/benchmark/llama.py",
"repo_id": "transformers",
"token_count": 7290
} | 310 |
FROM python:3.9-slim
ENV PYTHONDONTWRITEBYTECODE=1
ARG REF=main
USER root
RUN apt-get update && apt-get install -y --no-install-recommends libsndfile1-dev espeak-ng time git g++ cmake pkg-config openssh-client git git-lfs
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv venv && uv pip instal... | transformers/docker/torch-light.dockerfile/0 | {
"file_path": "transformers/docker/torch-light.dockerfile",
"repo_id": "transformers",
"token_count": 291
} | 311 |
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-tensorflow-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-tensorflow-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 380
} | 312 |
# استخدام مجزئيات النصوص من 🤗 Tokenizers
يعتمد [`PreTrainedTokenizerFast`] على مكتبة [🤗 Tokenizers](https://huggingface.co/docs/tokenizers). يمكن تحميل المجزئات اللغويين الذين تم الحصول عليهم من مكتبة 🤗 Tokenizers ببساطة شديدة في 🤗 Transformers.
قبل الدخول في التفاصيل، دعونا نبدأ أولاً بإنشاء مُجزىء لغوي تجريبي ف... | transformers/docs/source/ar/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/ar/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 1394
} | 313 |
# التعقيد اللغوي للنماذج ذات الطول الثابت
[[open-in-colab]]
التعقيد اللغوي (PPL) هي واحدة من أكثر المقاييس شيوعًا لتقييم نماذج اللغة. قبل الخوض في التفاصيل، يجب أن نلاحظ أن المقياس ينطبق تحديدًا على نماذج اللغة الكلاسيكية (يُطلق عليها أحيانًا نماذج اللغة التلقائية المرجعية أو السببية) وهي غير محددة جيدًا لنماذج اللغ... | transformers/docs/source/ar/perplexity.md/0 | {
"file_path": "transformers/docs/source/ar/perplexity.md",
"repo_id": "transformers",
"token_count": 5357
} | 314 |
<!--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 agree... | transformers/docs/source/ar/tasks/token_classification.md/0 | {
"file_path": "transformers/docs/source/ar/tasks/token_classification.md",
"repo_id": "transformers",
"token_count": 10300
} | 315 |
<!---
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 ... | transformers/docs/source/de/contributing.md/0 | {
"file_path": "transformers/docs/source/de/contributing.md",
"repo_id": "transformers",
"token_count": 8107
} | 316 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Quick tour
- local: installation
title: Installation
- local: add_new_model
title: Adding a new model to `transformers`
title: Get started
- sections:
- local: pipeline_tutorial
title: Run inference with pipeline... | transformers/docs/source/en/_toctree.yml/0 | {
"file_path": "transformers/docs/source/en/_toctree.yml",
"repo_id": "transformers",
"token_count": 13893
} | 317 |
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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/en/conversations.md/0 | {
"file_path": "transformers/docs/source/en/conversations.md",
"repo_id": "transformers",
"token_count": 4633
} | 318 |
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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/en/internal/generation_utils.md/0 | {
"file_path": "transformers/docs/source/en/internal/generation_utils.md",
"repo_id": "transformers",
"token_count": 3508
} | 319 |
<!--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/albert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/albert.md",
"repo_id": "transformers",
"token_count": 5608
} | 320 |
<!--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/bertweet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bertweet.md",
"repo_id": "transformers",
"token_count": 806
} | 321 |
<!--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/model_doc/chameleon.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/chameleon.md",
"repo_id": "transformers",
"token_count": 2738
} | 322 |
<!--Copyright 2022 The HuggingFace Team and The OpenBMB 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 app... | transformers/docs/source/en/model_doc/cpmant.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/cpmant.md",
"repo_id": "transformers",
"token_count": 534
} | 323 |
<!--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/funnel.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/funnel.md",
"repo_id": "transformers",
"token_count": 1879
} | 324 |
<!--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/model_doc/granite.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/granite.md",
"repo_id": "transformers",
"token_count": 1080
} | 325 |
<!--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/imagegpt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/imagegpt.md",
"repo_id": "transformers",
"token_count": 1915
} | 326 |
<!--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/mask2former.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mask2former.md",
"repo_id": "transformers",
"token_count": 1301
} | 327 |
<!--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/mobilenet_v1.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/mobilenet_v1.md",
"repo_id": "transformers",
"token_count": 1403
} | 328 |
<!--Copyright 2024 The HuggingFace Team. All rights reserved.
Copyright (c) 2024, 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 copy of the License at
http://www.apache.org/lic... | transformers/docs/source/en/model_doc/nemotron.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/nemotron.md",
"repo_id": "transformers",
"token_count": 1671
} | 329 |
<!--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/model_doc/paligemma.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/paligemma.md",
"repo_id": "transformers",
"token_count": 1694
} | 330 |
<!--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/prophetnet.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/prophetnet.md",
"repo_id": "transformers",
"token_count": 1169
} | 331 |
<!--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/retribert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/retribert.md",
"repo_id": "transformers",
"token_count": 536
} | 332 |
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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/en/model_doc/siglip2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/siglip2.md",
"repo_id": "transformers",
"token_count": 3543
} | 333 |
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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/en/model_doc/vit_mae.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/vit_mae.md",
"repo_id": "transformers",
"token_count": 2432
} | 334 |
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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/en/model_doc/xlm-roberta-xl.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/xlm-roberta-xl.md",
"repo_id": "transformers",
"token_count": 969
} | 335 |
<!---
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/docs/source/en/performance.md/0 | {
"file_path": "transformers/docs/source/en/performance.md",
"repo_id": "transformers",
"token_count": 966
} | 336 |
<!--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/gptq.md/0 | {
"file_path": "transformers/docs/source/en/quantization/gptq.md",
"repo_id": "transformers",
"token_count": 2644
} | 337 |
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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/en/tasks/question_answering.md/0 | {
"file_path": "transformers/docs/source/en/tasks/question_answering.md",
"repo_id": "transformers",
"token_count": 5081
} | 338 |
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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/en/tiktoken.md/0 | {
"file_path": "transformers/docs/source/en/tiktoken.md",
"repo_id": "transformers",
"token_count": 773
} | 339 |
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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/es/create_a_model.md/0 | {
"file_path": "transformers/docs/source/es/create_a_model.md",
"repo_id": "transformers",
"token_count": 6229
} | 340 |
<!---
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/es/pr_checks.md/0 | {
"file_path": "transformers/docs/source/es/pr_checks.md",
"repo_id": "transformers",
"token_count": 2659
} | 341 |
<!--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
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Unless required by applicable law or agreed... | transformers/docs/source/hi/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/hi/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 13936
} | 342 |
<!---
Copyright 2020 The HuggingFace Team. Tutti i diritti riservati.
Concesso in licenza in base alla Licenza Apache, Versione 2.0 (la "Licenza");
non è possibile utilizzare questo file se non in conformità con la Licenza.
È possibile ottenere una copia della Licenza all'indirizzo
http://www.apache.org/licenses/LICE... | transformers/docs/source/it/migration.md/0 | {
"file_path": "transformers/docs/source/it/migration.md",
"repo_id": "transformers",
"token_count": 5576
} | 343 |
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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/it/run_scripts.md/0 | {
"file_path": "transformers/docs/source/it/run_scripts.md",
"repo_id": "transformers",
"token_count": 6864
} | 344 |
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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/generation_strategies.md/0 | {
"file_path": "transformers/docs/source/ja/generation_strategies.md",
"repo_id": "transformers",
"token_count": 9116
} | 345 |
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Unless required by applicable law or agreed... | transformers/docs/source/ja/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/ja/main_classes/callback.md",
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"token_count": 2295
} | 346 |
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"file_path": "transformers/docs/source/ja/main_classes/tokenizer.md",
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"token_count": 1908
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"file_path": "transformers/docs/source/ja/model_doc/bertweet.md",
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"token_count": 1155
} | 348 |
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the License. You may obtain a copy of the License at
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"file_path": "transformers/docs/source/ja/model_doc/chinese_clip.md",
"repo_id": "transformers",
"token_count": 2245
} | 349 |
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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/deberta-v2.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/deberta-v2.md",
"repo_id": "transformers",
"token_count": 3023
} | 350 |
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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/tasks/language_modeling.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/language_modeling.md",
"repo_id": "transformers",
"token_count": 7769
} | 351 |
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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/tasks/zero_shot_object_detection.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/zero_shot_object_detection.md",
"repo_id": "transformers",
"token_count": 5595
} | 352 |
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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/ko/autoclass_tutorial.md/0 | {
"file_path": "transformers/docs/source/ko/autoclass_tutorial.md",
"repo_id": "transformers",
"token_count": 5250
} | 353 |
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# 열심히 번역 중입니다. 조금 이따 만나요! | transformers/docs/source/ko/in_translation.md/0 | {
"file_path": "transformers/docs/source/ko/in_translation.md",
"repo_id": "transformers",
"token_count": 95
} | 354 |
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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/ko/main_classes/callback.md/0 | {
"file_path": "transformers/docs/source/ko/main_classes/callback.md",
"repo_id": "transformers",
"token_count": 3295
} | 355 |
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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/ko/model_doc/bart.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/bart.md",
"repo_id": "transformers",
"token_count": 6628
} | 356 |
<!--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/encoder-decoder.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/encoder-decoder.md",
"repo_id": "transformers",
"token_count": 5278
} | 357 |
<!--Copyright 2023 IBM and 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/LICENSE-2.0
Unless required by applicable law ... | transformers/docs/source/ko/model_doc/patchtsmixer.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/patchtsmixer.md",
"repo_id": "transformers",
"token_count": 3505
} | 358 |
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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/ko/multilingual.md/0 | {
"file_path": "transformers/docs/source/ko/multilingual.md",
"repo_id": "transformers",
"token_count": 5686
} | 359 |
<!---
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/ko/pr_checks.md/0 | {
"file_path": "transformers/docs/source/ko/pr_checks.md",
"repo_id": "transformers",
"token_count": 9042
} | 360 |
<!--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_captioning.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/image_captioning.md",
"repo_id": "transformers",
"token_count": 5078
} | 361 |
<!--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/tasks/token_classification.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/token_classification.md",
"repo_id": "transformers",
"token_count": 11315
} | 362 |
- sections:
- local: index
title: 🤗 Transformers
- local: quicktour
title: Lawatan cepat
- local: installation
title: Pemasangan
title: Mulakan
- sections:
- local: pipeline_tutorial
title: Jalankan inferens dengan saluran paip
- local: autoclass_tutorial
title: Tuli... | transformers/docs/source/ms/_toctree.yml/0 | {
"file_path": "transformers/docs/source/ms/_toctree.yml",
"repo_id": "transformers",
"token_count": 12468
} | 363 |
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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/zh/big_models.md/0 | {
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"token_count": 3100
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# 模型
基类 [`PreTrainedModel`]、[`TFPreTrainedModel`] 和 [`FlaxPreTrainedModel`] 实现了从本地文件或目录加载... | transformers/docs/source/zh/main_classes/model.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/model.md",
"repo_id": "transformers",
"token_count": 3605
} | 365 |
<!--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/zh/perf_train_cpu.md/0 | {
"file_path": "transformers/docs/source/zh/perf_train_cpu.md",
"repo_id": "transformers",
"token_count": 2182
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<!---
Copyright 2021 The Google Flax Team Authors and 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 r... | transformers/examples/flax/question-answering/README.md/0 | {
"file_path": "transformers/examples/flax/question-answering/README.md",
"repo_id": "transformers",
"token_count": 1053
} | 367 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2021 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/flax/token-classification/run_flax_ner.py/0 | {
"file_path": "transformers/examples/flax/token-classification/run_flax_ner.py",
"repo_id": "transformers",
"token_count": 14961
} | 368 |
#!/usr/bin/env bash
# for seqeval metrics import
pip install -r ../requirements.txt
## The relevant files are currently on a shared Google
## drive at https://drive.google.com/drive/folders/1kC0I2UGl2ltrluI9NqDjaQJGw5iliw_J
## Monitor for changes and eventually migrate to use the `datasets` library
curl -L 'https://d... | transformers/examples/legacy/pytorch-lightning/run_ner.sh/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/run_ner.sh",
"repo_id": "transformers",
"token_count": 724
} | 369 |
#!/usr/bin/env python
# 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... | transformers/examples/legacy/seq2seq/save_len_file.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/save_len_file.py",
"repo_id": "transformers",
"token_count": 869
} | 370 |
# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from examples/modular-transformers/modular_my_new_model2.py.
# Do NOT edit this file manually as any edits will be overwritten by the generati... | transformers/examples/modular-transformers/configuration_my_new_model2.py/0 | {
"file_path": "transformers/examples/modular-transformers/configuration_my_new_model2.py",
"repo_id": "transformers",
"token_count": 2258
} | 371 |
# Note that zamba does not have the `apply_rotary_pos_emb` function!
from transformers.models.llama.modeling_llama import apply_rotary_pos_emb
from transformers.models.zamba.modeling_zamba import ZambaAttention
# When following ZambaAttention dependencies, the function `apply_rotary_pos_emb` is not present
# by defau... | transformers/examples/modular-transformers/modular_add_function.py/0 | {
"file_path": "transformers/examples/modular-transformers/modular_add_function.py",
"repo_id": "transformers",
"token_count": 222
} | 372 |
<!---
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/pytorch/audio-classification/README.md/0 | {
"file_path": "transformers/examples/pytorch/audio-classification/README.md",
"repo_id": "transformers",
"token_count": 2210
} | 373 |
<!---
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 ... | transformers/examples/pytorch/instance-segmentation/README.md/0 | {
"file_path": "transformers/examples/pytorch/instance-segmentation/README.md",
"repo_id": "transformers",
"token_count": 3502
} | 374 |
#!/usr/bin/env python
# coding=utf-8
# Copyright The HuggingFace Team and 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.ap... | transformers/examples/pytorch/multiple-choice/run_swag.py/0 | {
"file_path": "transformers/examples/pytorch/multiple-choice/run_swag.py",
"repo_id": "transformers",
"token_count": 7237
} | 375 |
# 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/pytorch/question-answering/utils_qa.py/0 | {
"file_path": "transformers/examples/pytorch/question-answering/utils_qa.py",
"repo_id": "transformers",
"token_count": 9469
} | 376 |
#!/usr/bin/env python
# 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-... | transformers/examples/pytorch/token-classification/run_ner.py/0 | {
"file_path": "transformers/examples/pytorch/token-classification/run_ner.py",
"repo_id": "transformers",
"token_count": 11456
} | 377 |
#!/usr/bin/env python3
# Copyright 2018 CMU and 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 requir... | transformers/examples/research_projects/bertology/run_bertology.py/0 | {
"file_path": "transformers/examples/research_projects/bertology/run_bertology.py",
"repo_id": "transformers",
"token_count": 7334
} | 378 |
from unittest import TestCase
from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters
def get_dataset():
data_dict = {
"repo_name": ["test_repo1", "test_repo2", "test_repo3"],
"path": ["test_1.py", "test_2.py", "unit_test.py"],
"content"... | transformers/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/tests/test_deduplicate.py",
"repo_id": "transformers",
"token_count": 456
} | 379 |
# coding=utf-8
# Copyright 2019-present, the HuggingFace Inc. team and Facebook, Inc.
#
# 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
#
# Un... | transformers/examples/research_projects/distillation/grouped_batch_sampler.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/grouped_batch_sampler.py",
"repo_id": "transformers",
"token_count": 1750
} | 380 |
[build-system]
requires = [
"setuptools>=57.4.0",
"wheel>=0.37.0",
"transformers>=4.9.2"
]
build-backend = "setuptools.build_meta" | transformers/examples/research_projects/fsner/pyproject.toml/0 | {
"file_path": "transformers/examples/research_projects/fsner/pyproject.toml",
"repo_id": "transformers",
"token_count": 71
} | 381 |
import jax
import jax.numpy as jnp
from bigbird_flax import FlaxBigBirdForNaturalQuestions
from datasets import load_from_disk
from transformers import BigBirdTokenizerFast
CATEGORY_MAPPING = {0: "null", 1: "short", 2: "long", 3: "yes", 4: "no"}
PUNCTUATION_SET_TO_EXCLUDE = set("".join(["‘", "’", "´", "`", ".", ",",... | transformers/examples/research_projects/jax-projects/big_bird/evaluate.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/big_bird/evaluate.py",
"repo_id": "transformers",
"token_count": 2736
} | 382 |
#!/usr/bin/env python3
import logging
import sys
import time
from dataclasses import field
from pathlib import Path
from typing import Dict, List, Optional, Union
import flax
import jax
import jax.numpy as jnp
import librosa
import numpy as np
import optax
from datasets import DatasetDict, load_dataset
from flax impor... | transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/wav2vec2/run_wav2vec2_pretrain_flax.py",
"repo_id": "transformers",
"token_count": 10481
} | 383 |
# 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/emmental/modeling_bert_masked.py/0 | {
"file_path": "transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py",
"repo_id": "transformers",
"token_count": 20046
} | 384 |
# 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/research_projects/performer/run_mlm_performer.py/0 | {
"file_path": "transformers/examples/research_projects/performer/run_mlm_performer.py",
"repo_id": "transformers",
"token_count": 11400
} | 385 |
## Sequence to Sequence Training and Evaluation
This directory contains examples for finetuning and evaluating transformers on summarization and translation tasks.
Author: Sam Shleifer (https://github.com/sshleifer)
### Supported Architectures
- `BartForConditionalGeneration` (and anything that inherits from it)
- ... | transformers/examples/research_projects/seq2seq-distillation/README.md/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/README.md",
"repo_id": "transformers",
"token_count": 6520
} | 386 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2022 The Microsoft and 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.apac... | transformers/examples/research_projects/tapex/run_tabfact_with_tapex.py/0 | {
"file_path": "transformers/examples/research_projects/tapex/run_tabfact_with_tapex.py",
"repo_id": "transformers",
"token_count": 7840
} | 387 |
import numpy as np
import PIL
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as TF
from PIL import Image
def preprocess(img, target_image_size=256):
s = min(img.size)
if s < target_image_size:
raise ValueError(f"min dim for image {s} < {target_image_size}")
... | transformers/examples/research_projects/vqgan-clip/img_processing.py/0 | {
"file_path": "transformers/examples/research_projects/vqgan-clip/img_processing.py",
"repo_id": "transformers",
"token_count": 545
} | 388 |
#!/usr/bin/env bash
python alignment.py \
--model_name="arijitx/wav2vec2-xls-r-300m-bengali" \
--wav_dir="./wavs" \
--text_file="script.txt" \
--input_wavs_sr=48000 \
--output_dir="./out_alignment" \
--cuda
| transformers/examples/research_projects/wav2vec2/run_alignment.sh/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/run_alignment.sh",
"repo_id": "transformers",
"token_count": 97
} | 389 |
#!/usr/bin/env python
# coding=utf-8
# 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-... | transformers/examples/tensorflow/contrastive-image-text/run_clip.py/0 | {
"file_path": "transformers/examples/tensorflow/contrastive-image-text/run_clip.py",
"repo_id": "transformers",
"token_count": 10980
} | 390 |
<!---
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/tensorflow/question-answering/README.md/0 | {
"file_path": "transformers/examples/tensorflow/question-answering/README.md",
"repo_id": "transformers",
"token_count": 653
} | 391 |
#!/usr/bin/env python
# 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/LICENS... | transformers/scripts/fsmt/fsmt-make-tiny-model.py/0 | {
"file_path": "transformers/scripts/fsmt/fsmt-make-tiny-model.py",
"repo_id": "transformers",
"token_count": 704
} | 392 |
#!/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/L... | transformers/src/transformers/agents/agents.py/0 | {
"file_path": "transformers/src/transformers/agents/agents.py",
"repo_id": "transformers",
"token_count": 22998
} | 393 |
# coding=utf-8
# Copyright 2020 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 applicable... | transformers/src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py/0 | {
"file_path": "transformers/src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py",
"repo_id": "transformers",
"token_count": 1134
} | 394 |
# THIS FILE HAS BEEN AUTOGENERATED. To update:
# 1. modify the `_deps` dict in setup.py
# 2. run `make deps_table_update``
deps = {
"Pillow": "Pillow>=10.0.1,<=15.0",
"accelerate": "accelerate>=0.26.0",
"av": "av",
"beautifulsoup4": "beautifulsoup4",
"blobfile": "blobfile",
"codecarbon": "codeca... | transformers/src/transformers/dependency_versions_table.py/0 | {
"file_path": "transformers/src/transformers/dependency_versions_table.py",
"repo_id": "transformers",
"token_count": 1976
} | 395 |
# 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/src/transformers/generation/tf_utils.py/0 | {
"file_path": "transformers/src/transformers/generation/tf_utils.py",
"repo_id": "transformers",
"token_count": 76456
} | 396 |
# coding=utf-8
# Copyright 2024 NetEase, Inc. and 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/LICENS... | transformers/src/transformers/integrations/eetq.py/0 | {
"file_path": "transformers/src/transformers/integrations/eetq.py",
"repo_id": "transformers",
"token_count": 2106
} | 397 |
from pathlib import Path
from typing import Any
from transformers.convert_slow_tokenizer import TikTokenConverter
from transformers.tokenization_utils_fast import TIKTOKEN_VOCAB_FILE, TOKENIZER_FILE
def convert_tiktoken_to_fast(encoding: Any, output_dir: str):
"""
Converts given `tiktoken` encoding to `Pretr... | transformers/src/transformers/integrations/tiktoken.py/0 | {
"file_path": "transformers/src/transformers/integrations/tiktoken.py",
"repo_id": "transformers",
"token_count": 623
} | 398 |
/*!
**************************************************************************************************
* Deformable DETR
* Copyright (c) 2020 SenseTime. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 [see LICENSE for details]
***********************************************************************... | transformers/src/transformers/kernels/deta/cuda/ms_deform_attn_cuda.cuh/0 | {
"file_path": "transformers/src/transformers/kernels/deta/cuda/ms_deform_attn_cuda.cuh",
"repo_id": "transformers",
"token_count": 34691
} | 399 |
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