text stringlengths 96 319k | id stringlengths 14 178 | metadata dict |
|---|---|---|
import {
ImageProcessor,
} from "../../base/image_processors_utils.js";
import { cat, Tensor } from "../../utils/tensor.js";
export class Qwen2VLImageProcessor extends ImageProcessor {
async _call(images, ...args) {
const { pixel_values, original_sizes, reshaped_input_sizes } = await super._call(images... | transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js/0 | {
"file_path": "transformers.js/src/models/qwen2_vl/image_processing_qwen2_vl.js",
"repo_id": "transformers.js",
"token_count": 888
} |
/**
* The list of devices supported by Transformers.js
*/
export const DEVICE_TYPES = Object.freeze({
auto: 'auto', // Auto-detect based on device and environment
gpu: 'gpu', // Auto-detect GPU
cpu: 'cpu', // CPU
wasm: 'wasm', // WebAssembly
webgpu: 'webgpu', // WebGPU
cuda: 'cuda', // CUDA
... | transformers.js/src/utils/devices.js/0 | {
"file_path": "transformers.js/src/utils/devices.js",
"repo_id": "transformers.js",
"token_count": 247
} |
import { LlamaTokenizer, CLIPImageProcessor, LlavaForConditionalGeneration, 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 prompts = [
// Example adapted fro... | transformers.js/tests/models/llava/test_modeling_llava.js/0 | {
"file_path": "transformers.js/tests/models/llava/test_modeling_llava.js",
"repo_id": "transformers.js",
"token_count": 1443
} |
import { AutoFeatureExtractor, SeamlessM4TFeatureExtractor } from "../../../src/transformers.js";
import { load_cached_audio } from "../../asset_cache.js";
import { MAX_FEATURE_EXTRACTOR_LOAD_TIME, MAX_TEST_EXECUTION_TIME } from "../../init.js";
const sum = (array) => Number(array.reduce((a, b) => a + b, array instan... | transformers.js/tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.js/0 | {
"file_path": "transformers.js/tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.js",
"repo_id": "transformers.js",
"token_count": 1089
} |
import { pipeline, Text2TextGenerationPipeline } 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 = "text2text-generation";
export default () => {
describe("Text to Text Generation", () => {... | transformers.js/tests/pipelines/test_pipelines_text2text_generation.js/0 | {
"file_path": "transformers.js/tests/pipelines/test_pipelines_text2text_generation.js",
"repo_id": "transformers.js",
"token_count": 520
} |
import { RawImage, rand } from "../../src/transformers.js";
import { load_cached_image } from "../asset_cache.js";
const TEST_IMAGES = {
rgba: new RawImage(new Uint8ClampedArray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]), 2, 3, 4),
rgb: new RawImage(new Uint8ClampedArra... | transformers.js/tests/utils/image.test.js/0 | {
"file_path": "transformers.js/tests/utils/image.test.js",
"repo_id": "transformers.js",
"token_count": 1496
} |
FROM python:3.9-slim
ENV PYTHONDONTWRITEBYTECODE=1
USER root
RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git cmake wget xz-utils build-essential g++5 libprotobuf-dev protobuf-compiler
ENV UV_PYTHON=/usr/local/bin/python
RUN pip --no-cache-dir install uv && uv venv && uv pip install --no-cach... | transformers/docker/custom-tokenizers.dockerfile/0 | {
"file_path": "transformers/docker/custom-tokenizers.dockerfile",
"repo_id": "transformers",
"token_count": 548
} |
FROM rocm/dev-ubuntu-22.04:6.2.4
LABEL maintainer="Hugging Face"
ARG DEBIAN_FRONTEND=noninteractive
RUN apt update && \
apt install -y --no-install-recommends git libsndfile1-dev tesseract-ocr espeak-ng python3 python3-dev python3-pip python3-dev ffmpeg && \
apt clean && \
rm -rf /var/lib/apt/lists/*
RUN... | transformers/docker/transformers-pytorch-amd-gpu/Dockerfile/0 | {
"file_path": "transformers/docker/transformers-pytorch-amd-gpu/Dockerfile",
"repo_id": "transformers",
"token_count": 491
} |
# التدريب الموزع باستخدام 🤗 Accelerate
مع تزايد حجم النماذج اللغوية، برز التوازي كأحد الاستراتيجيات لتدريب نماذج أكبر على أجهزة محدودة وتسريع عملية التدريب بمقدار كبير. أنشأنا في Hugging Face، قمنا بإنشاء مكتبة [ Accelerate](https://huggingface.co/docs/accelerate) لمساعدة المستخدمين على تدريب أي نموذج من Transfor... | transformers/docs/source/ar/accelerate.md/0 | {
"file_path": "transformers/docs/source/ar/accelerate.md",
"repo_id": "transformers",
"token_count": 2534
} |
# التوليد باستخدام نماذج اللغات الكبيرة (LLMs)
[[open-in-colab]]
تعد LLMs، أو نماذج اللغة الكبيرة، المكون الرئيسي وراء توليد النصوص. وباختصار، تتكون من نماذج محول كبيرة مسبقة التدريب تم تدريبها للتنبؤ بالكلمة التالية (أو، بشكل أكثر دقة، الرمز اللغوي) بالنظر إلى نص معين. نظرًا لأنها تتنبأ برمز واحد في كل مرة، يجب عليك... | transformers/docs/source/ar/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/ar/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 9367
} |
# التدريب باستخدام نص برمجى
بالإضافة إلى دفاتر الملاحظات [notebooks](./notebooks) الخاصة بـ 🤗 Transformers، هناك أيضًا نصوص برمجية توضيحية تُظهر كيفية تدريب نموذج لمهمة باستخدام [PyTorch](https://github.com/huggingface/transformers/tree/main/examples/pytorch) أو [TensorFlow](https://github.com/huggingface/transformer... | transformers/docs/source/ar/run_scripts.md/0 | {
"file_path": "transformers/docs/source/ar/run_scripts.md",
"repo_id": "transformers",
"token_count": 10161
} |
# التصدير إلى TorchScript
<Tip>
هذه هي بداية تجاربنا مع TorchScript ولا زلنا نستكشف قدراته مع نماذج المدخلات المتغيرة الحجم. إنه مجال اهتمامنا وسنعمق تحليلنا في الإصدارات القادمة، مع المزيد من الأمثلة البرمجية، وتنفيذ أكثر مرونة، ومقاييس مقارنة بين الأكواد القائمة على Python مع أكواد TorchScript المُجمّعة.
</Tip>
... | transformers/docs/source/ar/torchscript.md/0 | {
"file_path": "transformers/docs/source/ar/torchscript.md",
"repo_id": "transformers",
"token_count": 5475
} |
<!--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/pipeline_tutorial.md/0 | {
"file_path": "transformers/docs/source/de/pipeline_tutorial.md",
"repo_id": "transformers",
"token_count": 3003
} |
<!--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/attention.md/0 | {
"file_path": "transformers/docs/source/en/attention.md",
"repo_id": "transformers",
"token_count": 958
} |
<!--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/glossary.md/0 | {
"file_path": "transformers/docs/source/en/glossary.md",
"repo_id": "transformers",
"token_count": 6761
} |
<!--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/llm_tutorial.md/0 | {
"file_path": "transformers/docs/source/en/llm_tutorial.md",
"repo_id": "transformers",
"token_count": 4715
} |
<!--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/bart.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bart.md",
"repo_id": "transformers",
"token_count": 3297
} |
<!--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/bloom.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/bloom.md",
"repo_id": "transformers",
"token_count": 1158
} |
# Cohere
## Overview
[C4AI Command R7B](https://cohere.com/blog/command-r7b) is an open weights research release of a 7B billion parameter model developed by Cohere and Cohere For AI. It has advanced capabilities optimized for various use cases, including reasoning, summarization, question answering, and code. The mod... | transformers/docs/source/en/model_doc/cohere2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/cohere2.md",
"repo_id": "transformers",
"token_count": 601
} |
<!--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/decision_transformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/decision_transformer.md",
"repo_id": "transformers",
"token_count": 639
} |
<!--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/dpr.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/dpr.md",
"repo_id": "transformers",
"token_count": 1170
} |
<!--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/flan-ul2.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/flan-ul2.md",
"repo_id": "transformers",
"token_count": 785
} |
<!--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/ibert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/ibert.md",
"repo_id": "transformers",
"token_count": 947
} |
<!--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/layoutxlm.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/layoutxlm.md",
"repo_id": "transformers",
"token_count": 981
} |
<!--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/madlad-400.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/madlad-400.md",
"repo_id": "transformers",
"token_count": 930
} |
<!--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/musicgen.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/musicgen.md",
"repo_id": "transformers",
"token_count": 3592
} |
<!--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/open-llama.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/open-llama.md",
"repo_id": "transformers",
"token_count": 620
} |
<!--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/recurrent_gemma.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/recurrent_gemma.md",
"repo_id": "transformers",
"token_count": 608
} |
<!--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/segformer.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/segformer.md",
"repo_id": "transformers",
"token_count": 3183
} |
<!--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/swin.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/swin.md",
"repo_id": "transformers",
"token_count": 1394
} |
<!--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/tvlt.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/tvlt.md",
"repo_id": "transformers",
"token_count": 1236
} |
<!--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/visual_bert.md/0 | {
"file_path": "transformers/docs/source/en/model_doc/visual_bert.md",
"repo_id": "transformers",
"token_count": 1680
} |
<!---
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 ... | transformers/docs/source/en/model_memory_anatomy.md/0 | {
"file_path": "transformers/docs/source/en/model_memory_anatomy.md",
"repo_id": "transformers",
"token_count": 3298
} |
<!--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/perf_train_gpu_one.md/0 | {
"file_path": "transformers/docs/source/en/perf_train_gpu_one.md",
"repo_id": "transformers",
"token_count": 10820
} |
<!--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/eetq.md/0 | {
"file_path": "transformers/docs/source/en/quantization/eetq.md",
"repo_id": "transformers",
"token_count": 683
} |
<!--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/audio_classification.md/0 | {
"file_path": "transformers/docs/source/en/tasks/audio_classification.md",
"repo_id": "transformers",
"token_count": 4036
} |
<!--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/tasks/prompting.md/0 | {
"file_path": "transformers/docs/source/en/tasks/prompting.md",
"repo_id": "transformers",
"token_count": 5582
} |
<!--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/tflite.md/0 | {
"file_path": "transformers/docs/source/en/tflite.md",
"repo_id": "transformers",
"token_count": 878
} |
<!--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/es/converting_tensorflow_models.md/0 | {
"file_path": "transformers/docs/source/es/converting_tensorflow_models.md",
"repo_id": "transformers",
"token_count": 2424
} |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# Uso de un flujo de trabajo para un servidor web
<Tip>
Crear un motor de inferencia es un tema complejo, y la "mejor" solución probablemente depend... | transformers/docs/source/es/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/es/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 2575
} |
<!--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/hi/accelerate.md/0 | {
"file_path": "transformers/docs/source/hi/accelerate.md",
"repo_id": "transformers",
"token_count": 3992
} |
<!---
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/installation.md/0 | {
"file_path": "transformers/docs/source/it/installation.md",
"repo_id": "transformers",
"token_count": 3586
} |
<!--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/it/quicktour.md/0 | {
"file_path": "transformers/docs/source/it/quicktour.md",
"repo_id": "transformers",
"token_count": 6489
} |
<!--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/fast_tokenizers.md/0 | {
"file_path": "transformers/docs/source/ja/fast_tokenizers.md",
"repo_id": "transformers",
"token_count": 1187
} |
<!--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/model_doc/bert.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/bert.md",
"repo_id": "transformers",
"token_count": 6595
} |
<!--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/ja/model_doc/canine.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/canine.md",
"repo_id": "transformers",
"token_count": 3007
} |
<!--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/model_doc/data2vec.md/0 | {
"file_path": "transformers/docs/source/ja/model_doc/data2vec.md",
"repo_id": "transformers",
"token_count": 3072
} |
<!--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 to... | transformers/docs/source/ja/peft.md/0 | {
"file_path": "transformers/docs/source/ja/peft.md",
"repo_id": "transformers",
"token_count": 3664
} |
<!--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/philosophy.md/0 | {
"file_path": "transformers/docs/source/ja/philosophy.md",
"repo_id": "transformers",
"token_count": 3292
} |
<!--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/tasks/knowledge_distillation_for_image_classification.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/knowledge_distillation_for_image_classification.md",
"repo_id": "transformers",
"token_count": 3678
} |
<!--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/tasks/zero_shot_image_classification.md/0 | {
"file_path": "transformers/docs/source/ja/tasks/zero_shot_image_classification.md",
"repo_id": "transformers",
"token_count": 2709
} |
<!--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/attention.md/0 | {
"file_path": "transformers/docs/source/ko/attention.md",
"repo_id": "transformers",
"token_count": 3070
} |
<!--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/hpo_train.md/0 | {
"file_path": "transformers/docs/source/ko/hpo_train.md",
"repo_id": "transformers",
"token_count": 3520
} |
<!--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/main_classes/agent.md/0 | {
"file_path": "transformers/docs/source/ko/main_classes/agent.md",
"repo_id": "transformers",
"token_count": 2949
} |
<!--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/model_doc/autoformer.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/autoformer.md",
"repo_id": "transformers",
"token_count": 2603
} |
<!--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/deberta.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/deberta.md",
"repo_id": "transformers",
"token_count": 4741
} |
<!--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/model_doc/paligemma.md/0 | {
"file_path": "transformers/docs/source/ko/model_doc/paligemma.md",
"repo_id": "transformers",
"token_count": 2814
} |
# 모듈식 트랜스포머 [[modular-transformers]]
`transformers`는 opinionated(자기 의견이 강한) 프레임워크이며, 우리의 철학은 다음의 [개념 가이드](./philosophy)에 정의되어 있습니다.
이 철학의 핵심은 라이브러리의 [단일 모델, 단일 파일](https://huggingface.co/blog/transformers-design-philosophy) 측면에서 잘 나타납니다. 이 구성 요소의 단점은 파일 간에 구성 요소의 상속과 임포트 가능성을 제한한다는 것입니다.
그 결과, 모델 구성 요소가 여러 파일에 걸쳐 반복... | transformers/docs/source/ko/modular_transformers.md/0 | {
"file_path": "transformers/docs/source/ko/modular_transformers.md",
"repo_id": "transformers",
"token_count": 5200
} |
<!--⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
rendered properly in your Markdown viewer.
-->
# 웹 서버를 위한 파이프라인 사용하기[[using_pipelines_for_a_webserver]]
<Tip>
추론 엔진을 만드는 것은 복잡한 주제이며, "최선의" 솔루션은 문제 공간에 따라 달라질 가능성이 높습니다. CPU 또는 GPU를 사용하는지에 따라 다르고... | transformers/docs/source/ko/pipeline_webserver.md/0 | {
"file_path": "transformers/docs/source/ko/pipeline_webserver.md",
"repo_id": "transformers",
"token_count": 6178
} |
<!--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/idefics.md/0 | {
"file_path": "transformers/docs/source/ko/tasks/idefics.md",
"repo_id": "transformers",
"token_count": 13254
} |
<!---
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/troubleshooting.md/0 | {
"file_path": "transformers/docs/source/ko/troubleshooting.md",
"repo_id": "transformers",
"token_count": 6571
} |
<!--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/pt/serialization.md/0 | {
"file_path": "transformers/docs/source/pt/serialization.md",
"repo_id": "transformers",
"token_count": 7144
} |
<!--版权2020年HuggingFace团队保留所有权利。
根据Apache许可证第2.0版（“许可证”）许可；除非符合许可证，否则您不得使用此文件。您可以在以下网址获取许可证的副本：
http://www.apache.org/licenses/LICENSE-2.0
除非适用法律要求或书面同意，否则按“按原样”分发的软件，无论是明示还是暗示的，都没有任何担保或条件。请参阅许可证以了解特定语言下的权限和限制。
⚠️ 请注意，本文件虽然使用Markdown编写，但包含了特定的语法，适用于我们的doc-builder（类似于MDX），可能无法在您的Markdown查看器中正常渲染。
-->
# 基于BERT进行的相关研... | transformers/docs/source/zh/bertology.md/0 | {
"file_path": "transformers/docs/source/zh/bertology.md",
"repo_id": "transformers",
"token_count": 1340
} |
<!--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/internal/generation_utils.md/0 | {
"file_path": "transformers/docs/source/zh/internal/generation_utils.md",
"repo_id": "transformers",
"token_count": 3447
} |
<!--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/logging.md/0 | {
"file_path": "transformers/docs/source/zh/main_classes/logging.md",
"repo_id": "transformers",
"token_count": 2154
} |
<!--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/zh/perf_torch_compile.md/0 | {
"file_path": "transformers/docs/source/zh/perf_torch_compile.md",
"repo_id": "transformers",
"token_count": 6785
} |
<!--
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/zh/torchscript.md/0 | {
"file_path": "transformers/docs/source/zh/torchscript.md",
"repo_id": "transformers",
"token_count": 4763
} |
#!/usr/bin/env python3
import json
from typing import Iterator, List, Union
from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import Te... | transformers/examples/flax/language-modeling/t5_tokenizer_model.py/0 | {
"file_path": "transformers/examples/flax/language-modeling/t5_tokenizer_model.py",
"repo_id": "transformers",
"token_count": 1823
} |
import argparse
import glob
import logging
import os
from argparse import Namespace
from importlib import import_module
import numpy as np
import torch
from lightning_base import BaseTransformer, add_generic_args, generic_train
from seqeval.metrics import accuracy_score, f1_score, precision_score, recall_score
from to... | transformers/examples/legacy/pytorch-lightning/run_ner.py/0 | {
"file_path": "transformers/examples/legacy/pytorch-lightning/run_ner.py",
"repo_id": "transformers",
"token_count": 4295
} |
# 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/finetune.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/finetune.sh",
"repo_id": "transformers",
"token_count": 297
} |
#!/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/run_eval_search.py/0 | {
"file_path": "transformers/examples/legacy/seq2seq/run_eval_search.py",
"repo_id": "transformers",
"token_count": 2316
} |
# 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/train_distil_marian_enro.sh/0 | {
"file_path": "transformers/examples/legacy/seq2seq/train_distil_marian_enro.sh",
"repo_id": "transformers",
"token_count": 553
} |
# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨
# This file was automatically generated from examples/modular-transformers/modular_switch_function.py.
# Do NOT edit this file manually as any edits will be overwritten by the genera... | transformers/examples/modular-transformers/modeling_switch_function.py/0 | {
"file_path": "transformers/examples/modular-transformers/modeling_switch_function.py",
"repo_id": "transformers",
"token_count": 3528
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 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/image-pretraining/run_mim_no_trainer.py/0 | {
"file_path": "transformers/examples/pytorch/image-pretraining/run_mim_no_trainer.py",
"repo_id": "transformers",
"token_count": 12859
} |
#!/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/pytorch/summarization/run_summarization.py/0 | {
"file_path": "transformers/examples/pytorch/summarization/run_summarization.py",
"repo_id": "transformers",
"token_count": 13637
} |
# coding=utf-8
# Copyright 2020 Google AI, Google Brain, the HuggingFace Inc. team and Microsoft Corporation.
#
# 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/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py/0 | {
"file_path": "transformers/examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py",
"repo_id": "transformers",
"token_count": 6317
} |
#!/usr/bin/env python3
"""This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
to prune GPT-like models. The author is @altsoph.
"""
import argparse
import logging
import ... | transformers/examples/research_projects/bertology/run_prune_gpt.py/0 | {
"file_path": "transformers/examples/research_projects/bertology/run_prune_gpt.py",
"repo_id": "transformers",
"token_count": 6338
} |
import logging
import torch
from accelerate import Accelerator
from arguments import EvaluationArguments
from datasets import load_dataset
from torch.utils.data import IterableDataset
from torch.utils.data.dataloader import DataLoader
from transformers import AutoModelForCausalLM, AutoTokenizer, HfArgumentParser, set... | transformers/examples/research_projects/codeparrot/scripts/validation_loss.py/0 | {
"file_path": "transformers/examples/research_projects/codeparrot/scripts/validation_loss.py",
"repo_id": "transformers",
"token_count": 1471
} |
# 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/lm_seqs_dataset.py/0 | {
"file_path": "transformers/examples/research_projects/distillation/lm_seqs_dataset.py",
"repo_id": "transformers",
"token_count": 2820
} |
import os
import jsonlines
import numpy as np
from tqdm import tqdm
DOC_STRIDE = 2048
MAX_LENGTH = 4096
SEED = 42
PROCESS_TRAIN = os.environ.pop("PROCESS_TRAIN", "false")
CATEGORY_MAPPING = {"null": 0, "short": 1, "long": 2, "yes": 3, "no": 4}
def _get_single_answer(example):
def choose_first(answer, is_long_a... | transformers/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py/0 | {
"file_path": "transformers/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py",
"repo_id": "transformers",
"token_count": 5324
} |
<!---
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/examples/research_projects/layoutlmv3/README.md/0 | {
"file_path": "transformers/examples/research_projects/layoutlmv3/README.md",
"repo_id": "transformers",
"token_count": 967
} |
# End-to-End finetuning of RAG (including DPR retriever) for Question Answering.
This finetuning script is actively maintained by [Shamane Siri](https://github.com/shamanez). Feel free to ask questions on the [Forum](https://discuss.huggingface.co/) or post an issue on [GitHub](https://github.com/huggingface/transform... | transformers/examples/research_projects/rag-end2end-retriever/README.md/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/README.md",
"repo_id": "transformers",
"token_count": 1044
} |
# Add parent directory to python path to access lightning_base.py
export PYTHONPATH="../":"${PYTHONPATH}"
#creates the custom knowlegebase
python use_own_knowledge_dataset.py
# Start a single-node Ray cluster.
ray start --head
# A sample finetuning run, you need to specify data_dir, output_dir and model_name_or_pat... | transformers/examples/research_projects/rag-end2end-retriever/test_run/test_finetune.sh/0 | {
"file_path": "transformers/examples/research_projects/rag-end2end-retriever/test_run/test_finetune.sh",
"repo_id": "transformers",
"token_count": 651
} |
"""
This script reads DPR retriever training data and parses each datapoint. We save a line per datapoint.
Each line consists of the query followed by a tab-separated list of Wikipedia page titles constituting
positive contexts for a given query.
"""
import argparse
import json
from tqdm import tqdm
def main():
... | transformers/examples/research_projects/rag/parse_dpr_relevance_data.py/0 | {
"file_path": "transformers/examples/research_projects/rag/parse_dpr_relevance_data.py",
"repo_id": "transformers",
"token_count": 559
} |
#!/usr/bin/env python
import argparse
import os
import sys
from unittest.mock import patch
import pytorch_lightning as pl
import timeout_decorator
import torch
from distillation import SummarizationDistiller, distill_main
from finetune import SummarizationModule, main
from transformers import MarianMTModel
from tran... | transformers/examples/research_projects/seq2seq-distillation/_test_bash_script.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/_test_bash_script.py",
"repo_id": "transformers",
"token_count": 3934
} |
import warnings
from pathlib import Path
from typing import List, Tuple, Union
import fire
from torch import nn
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, PreTrainedModel
from transformers.utils import logging
logger = logging.get_logger(__name__)
def copy_layers(src_layers: nn.ModuleList, des... | transformers/examples/research_projects/seq2seq-distillation/make_student.py/0 | {
"file_path": "transformers/examples/research_projects/seq2seq-distillation/make_student.py",
"repo_id": "transformers",
"token_count": 3522
} |
#!/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_wikisql_with_tapex.py/0 | {
"file_path": "transformers/examples/research_projects/tapex/run_wikisql_with_tapex.py",
"repo_id": "transformers",
"token_count": 11008
} |
import importlib
import torch
import yaml
from omegaconf import OmegaConf
from taming.models.vqgan import VQModel
def load_config(config_path, display=False):
config = OmegaConf.load(config_path)
if display:
print(yaml.dump(OmegaConf.to_container(config)))
return config
def load_vqgan(device, c... | transformers/examples/research_projects/vqgan-clip/loaders.py/0 | {
"file_path": "transformers/examples/research_projects/vqgan-clip/loaders.py",
"repo_id": "transformers",
"token_count": 926
} |
#!/usr/bin/env python3
import logging
import pathlib
import re
import sys
from dataclasses import dataclass, field
from typing import Any, Callable, Dict, List, Optional, Set, Union
import datasets
import librosa
import numpy as np
import torch
from lang_trans import arabic
from packaging import version
from torch imp... | transformers/examples/research_projects/wav2vec2/run_asr.py/0 | {
"file_path": "transformers/examples/research_projects/wav2vec2/run_asr.py",
"repo_id": "transformers",
"token_count": 8256
} |
<!---
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 ... | transformers/examples/tensorflow/image-classification/README.md/0 | {
"file_path": "transformers/examples/tensorflow/image-classification/README.md",
"repo_id": "transformers",
"token_count": 2316
} |
## 🔥 Model cards now live inside each huggingface.co model repo 🔥
For consistency, ease of use and scalability, `README.md` model cards now live directly inside each model repo on the HuggingFace model hub.
### How to update a model card
You can directly update a model card inside any model repo you have **write ... | transformers/model_cards/README.md/0 | {
"file_path": "transformers/model_cards/README.md",
"repo_id": "transformers",
"token_count": 296
} |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2023 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/document_question_answering.py/0 | {
"file_path": "transformers/src/transformers/agents/document_question_answering.py",
"repo_id": "transformers",
"token_count": 1374
} |
# 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 applicabl... | transformers/src/transformers/commands/add_new_model_like.py/0 | {
"file_path": "transformers/src/transformers/commands/add_new_model_like.py",
"repo_id": "transformers",
"token_count": 29705
} |
# 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
} |
# 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": 1962
} |
# 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
} |
# 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
} |
# 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 applicabl... | transformers/src/transformers/integrations/vptq.py/0 | {
"file_path": "transformers/src/transformers/integrations/vptq.py",
"repo_id": "transformers",
"token_count": 1928
} |
// File from https://github.com/mlpen/YOSO/blob/main/encoders/backbones/efficient_attentions/yoso/yoso_v1/cuda/fast_lsh_cumulation.cu
#include <torch/extension.h>
#include <ATen/ATen.h>
#include "fast_lsh_cumulation.h"
#include "fast_lsh_cumulation_cuda.h"
#include "common_cuda.h"
#include "common.h"
#include <vector>... | transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.cu/0 | {
"file_path": "transformers/src/transformers/kernels/yoso/fast_lsh_cumulation.cu",
"repo_id": "transformers",
"token_count": 8662
} |
# coding=utf-8
# Copyright 2024 The ggml.ai team and The HuggingFace Inc. team. and pygguf author (github.com/99991)
# https://github.com/99991/pygguf
#
# 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 Lic... | transformers/src/transformers/modeling_gguf_pytorch_utils.py/0 | {
"file_path": "transformers/src/transformers/modeling_gguf_pytorch_utils.py",
"repo_id": "transformers",
"token_count": 8580
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.