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import { VisionEncoderDecoderModel, full } 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("VisionEncoderDecoderModel", () => { const model_id = "hf-internal-testing/...
transformers.js/tests/models/vision_encoder_decoder/test_modeling_vision_encoder_decoder.js/0
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import { pipeline, DocumentQuestionAnsweringPipeline, RawImage } 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 = "document-question-answering"; export default () => { describe("Document Q...
transformers.js/tests/pipelines/test_pipelines_document_question_answering.js/0
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import { pipeline, TranslationPipeline } 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 = "translation"; export default () => { describe("Translation", () => { const model_id = "Xenova...
transformers.js/tests/pipelines/test_pipelines_translation.js/0
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import { AutoProcessor, hamming, hanning, mel_filter_bank } from "../../src/transformers.js"; import { getFile } from "../../src/utils/hub.js"; import { RawImage } from "../../src/utils/image.js"; import { MAX_TEST_EXECUTION_TIME } from "../init.js"; import { compare } from "../test_utils.js"; describe("Utilities", (...
transformers.js/tests/utils/utils.test.js/0
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defaults: - benchmark # inheriting benchmark schema - scenario: inference - launcher: process - backend: pytorch - _self_ # for hydra 1.1 compatibility name: pytorch_generate launcher: start_method: spawn device_isolation: true device_isolation_action: warn backend: device: cuda device_ids: 0 n...
transformers/benchmark/config/generation.yaml/0
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FROM python:3.9-slim ENV PYTHONDONTWRITEBYTECODE=1 ARG REF=main USER root RUN apt-get update && apt-get install -y libsndfile1-dev espeak-ng time git cmake g++ ENV UV_PYTHON=/usr/local/bin/python RUN pip --no-cache-dir install uv && uv venv && uv pip install --no-cache-dir -U pip setuptools RUN pip install --no-cache-d...
transformers/docker/pipeline-tf.dockerfile/0
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FROM google/cloud-sdk:slim # Build args. ARG GITHUB_REF=refs/heads/main # TODO: This Dockerfile installs pytorch/xla 3.6 wheels. There are also 3.7 # wheels available; see below. ENV PYTHON_VERSION=3.6 RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ cmake \ ...
transformers/docker/transformers-pytorch-tpu/Dockerfile/0
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# قوالب نماذج الدردشة ## مقدمة تعد **الدردشة** أحد استخدامات نماذج اللغات الكبيرة (LLMs) شائعة الاستخدام بشكل متزايد. ففي سياق الدردشة، وبدلاً من متابعة سلسلة نصية واحدة (كما هو الحال مع نماذج اللغات القياسية)، يواصل النموذج بدلاً من ذلك محادثة تتكون من رسالة واحدة أو أكثر، تتضمن كل منها دورًا، مثل "المستخدم" أو "الم...
transformers/docs/source/ar/chat_templating.md/0
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# المحولات النمطية مكتبة `transformers` هي إطار عمل ذو فلسفة محدد؛ يتم تعريف فلسفتنا في [الدليل المفاهيمي](./philosophy). جوهر هذه الفلسفة يتمثل في مبدأ [نموذج واحد، ملف واحد](https://huggingface.co/blog/transformers-design-philosophy) في المكتبة. الجانب السلبي لهذا المكون هو تقييده لوراثة واستيراد مكونات الملفات. ن...
transformers/docs/source/ar/modular_transformers.md/0
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transformers/docs/source/ar/tasks/masked_language_modeling.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Schnellstart - local: installation title: Installation title: Erste Schritte - sections: - local: pipeline_tutorial title: Pipelines für Inferenzen - local: autoclass_tutorial title: Laden von vortrainierten Inst...
transformers/docs/source/de/_toctree.yml/0
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transformers/docs/source/de/testing.md/0
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transformers/docs/source/en/internal/audio_utils.md/0
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transformers/docs/source/en/main_classes/tokenizer.md/0
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transformers/docs/source/en/model_doc/bert-japanese.md/0
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transformers/docs/source/en/model_doc/camembert.md/0
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transformers/docs/source/en/model_doc/fsmt.md/0
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transformers/docs/source/en/model_doc/gptsan-japanese.md/0
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transformers/docs/source/en/model_doc/imagegpt.md/0
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transformers/docs/source/en/model_doc/nemotron.md/0
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transformers/docs/source/en/model_doc/paligemma.md/0
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transformers/docs/source/en/model_doc/prophetnet.md/0
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transformers/docs/source/en/model_doc/retribert.md/0
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transformers/docs/source/en/model_doc/speech-encoder-decoder.md/0
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<!--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/t5v1.1.md/0
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transformers/docs/source/en/model_doc/unispeech-sat.md/0
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transformers/docs/source/en/model_doc/vitdet.md/0
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transformers/docs/source/en/model_doc/xlm-v.md/0
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transformers/docs/source/en/tasks/image_feature_extraction.md/0
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transformers/docs/source/en/tasks/text-to-speech.md/0
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- sections: - local: index title: 🤗 Transformers - local: quicktour title: Visite rapide - local: installation title: Installation title: Démarrer - sections: - local: tutoriel_pipeline title: Pipelines pour l'inférence - local: autoclass_tutorial title: Chargement d'instances pré-entra...
transformers/docs/source/fr/_toctree.yml/0
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<!--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/accelerate.md/0
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transformers/docs/source/it/perf_infer_cpu.md/0
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transformers/docs/source/ja/accelerate.md/0
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<!--- 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/ja/installation.md/0
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transformers/docs/source/ja/model_doc/altclip.md/0
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transformers/docs/source/ja/model_doc/bit.md/0
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transformers/docs/source/ja/model_doc/clvp.md/0
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transformers/docs/source/ja/model_doc/deit.md/0
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transformers/docs/source/ja/quicktour.md/0
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transformers/docs/source/ja/tasks/object_detection.md/0
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transformers/docs/source/ja/tflite.md/0
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transformers/docs/source/ko/internal/file_utils.md/0
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transformers/docs/source/ko/main_classes/feature_extractor.md/0
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transformers/docs/source/ko/model_doc/bert.md/0
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transformers/docs/source/ko/model_doc/gpt_neox_japanese.md/0
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transformers/docs/source/ko/model_doc/swin2sr.md/0
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transformers/docs/source/ko/perf_infer_cpu.md/0
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transformers/docs/source/ko/quantization/eetq.md/0
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transformers/docs/source/ko/tasks/knowledge_distillation_for_image_classification.md/0
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transformers/docs/source/ko/tasks/zero_shot_image_classification.md/0
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transformers/docs/source/pt/accelerate.md/0
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transformers/docs/source/zh/create_a_model.md/0
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transformers/docs/source/zh/main_classes/pipelines.md/0
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<!--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/pipeline_tutorial.md/0
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<!--- 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/flax/speech-recognition/README.md/0
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# 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/legacy/question-answering/run_squad_trainer.py/0
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# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/examples/legacy/seq2seq/old_test_datasets.py/0
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# Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
transformers/examples/legacy/seq2seq/seq2seq_training_args.py/0
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# 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/xla_spawn.py/0
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<!--- 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/pytorch/contrastive-image-text/README.md/0
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<!--- Copyright 2020 The HuggingFace Team. All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or ...
transformers/examples/pytorch/language-modeling/README.md/0
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#!/usr/bin/env python # coding=utf-8 # Copyright 2024 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LI...
transformers/examples/pytorch/object-detection/run_object_detection.py/0
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# coding=utf-8 # Copyright 2022 The HuggingFace Inc. team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless r...
transformers/examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py/0
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# Text Summarization with Pretrained Encoders This folder contains part of the code necessary to reproduce the results on abstractive summarization from the article [Text Summarization with Pretrained Encoders](https://arxiv.org/pdf/1908.08345.pdf) by [Yang Liu](https://nlp-yang.github.io/) and [Mirella Lapata](https:...
transformers/examples/research_projects/bertabs/README.md/0
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# coding=utf-8 # Copyright 2019-present, the HuggingFace Inc. team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by a...
transformers/examples/research_projects/distillation/scripts/extract_distilbert.py/0
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# Information Gain Filtration(IGF) Authors @Tuko @mraunak This folder contains the code how to implement IGF for finetuning on GPT-2. ## What is IGF? Here we present a general fine-tuning method that we call information gain filtration for improving the overall training efficiency and final performance of language...
transformers/examples/research_projects/information-gain-filtration/README.md/0
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#!/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/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py/0
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import functools import math import os # noqa: F401 from random import choice, randint from time import time import datasets # noqa: F401 import faiss # noqa: F401 import numpy as np import pandas as pd import torch import torch.utils.checkpoint as checkpoint from elasticsearch import Elasticsearch # noqa: F401 fr...
transformers/examples/research_projects/longform-qa/eli5_utils.py/0
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# 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/mlm_wwm/run_mlm_wwm.py/0
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# Sample script to finetune RAG using Ray for distributed retrieval. # Add parent directory to python path to access lightning_base.py export PYTHONPATH="../":"${PYTHONPATH}" #creates the custom knowlegebase python use_own_knowledge_dataset.py \ --csv_path /DIR/SQUAD-KB/squad-kb.csv \ --output_dir /DIR/SQUA...
transformers/examples/research_projects/rag-end2end-retriever/finetune_rag_ray_end2end.sh/0
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import itertools import json import linecache import os import pickle import re import socket import string from collections import Counter from logging import getLogger from pathlib import Path from typing import Callable, Dict, Iterable, List import git import torch from torch.utils.data import Dataset from transfo...
transformers/examples/research_projects/rag/utils_rag.py/0
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#!/usr/bin/env python import os from pathlib import Path from typing import Dict, List import fire import torch from transformers import AutoModelForSeq2SeqLM, AutoTokenizer from transformers.utils.logging import get_logger logger = get_logger(__name__) def remove_prefix(text: str, prefix: str): if text.star...
transformers/examples/research_projects/seq2seq-distillation/convert_pl_checkpoint_to_hf.py/0
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#!/usr/bin/env bash export PYTHONPATH="../":"${PYTHONPATH}" export BS=32 export GAS=1 python finetune.py \ --learning_rate=3e-5 \ --fp16 \ --gpus 1 \ --do_train \ --do_predict \ --val_check_interval 0.25 \ --n_val 500 \ --num_train_epochs 2 \ --freeze_encoder --freeze_embeds --data...
transformers/examples/research_projects/seq2seq-distillation/train_distilbart_cnn.sh/0
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# Parts of the code are adapted from the snippets provided in the TorchAudio Wav2Vec forced alignment tutorial. # The full tutorial can be found here: https://pytorch.org/audio/stable/tutorials/forced_alignment_tutorial.html import argparse import os from dataclasses import dataclass import torch import torchaudio fr...
transformers/examples/research_projects/wav2vec2/alignment.py/0
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<!--- 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/xtreme-s/README.md/0
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#!/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/tensorflow/summarization/run_summarization.py/0
{ "file_path": "transformers/examples/tensorflow/summarization/run_summarization.py", "repo_id": "transformers", "token_count": 13633 }
import torch from transformers import pipeline, AutoTokenizer, AutoModel, AutoModelForMaskedLM import time test_sentence = 'Do you [MASK] the muffin man?' # for comparison bert = pipeline('fill-mask', model = 'bert-base-uncased') print('\n'.join([d['sequence'] for d in bert(test_sentence)])) deberta = pipeline('fil...
transformers/scripts/deberta_scrtipt.py/0
{ "file_path": "transformers/scripts/deberta_scrtipt.py", "repo_id": "transformers", "token_count": 695 }
# Copyright 2021 The HuggingFace Team, the AllenNLP library authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # ...
transformers/scripts/stale.py/0
{ "file_path": "transformers/scripts/stale.py", "repo_id": "transformers", "token_count": 1217 }
#!/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/prompts.py/0
{ "file_path": "transformers/src/transformers/agents/prompts.py", "repo_id": "transformers", "token_count": 9105 }
""" Implementation of a custom transfer agent for the transfer type "multipart" for git-lfs. Inspired by: github.com/cbartz/git-lfs-swift-transfer-agent/blob/master/git_lfs_swift_transfer.py Spec is: github.com/git-lfs/git-lfs/blob/master/docs/custom-transfers.md To launch debugger while developing: ``` [lfs "cust...
transformers/src/transformers/commands/lfs.py/0
{ "file_path": "transformers/src/transformers/commands/lfs.py", "repo_id": "transformers", "token_count": 3515 }
# 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/src/transformers/data/datasets/language_modeling.py/0
{ "file_path": "transformers/src/transformers/data/datasets/language_modeling.py", "repo_id": "transformers", "token_count": 11449 }
# 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 applicabl...
transformers/src/transformers/generation/__init__.py/0
{ "file_path": "transformers/src/transformers/generation/__init__.py", "repo_id": "transformers", "token_count": 5532 }
# 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/image_processing_base.py/0
{ "file_path": "transformers/src/transformers/image_processing_base.py", "repo_id": "transformers", "token_count": 10635 }
# 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/fsdp.py/0
{ "file_path": "transformers/src/transformers/integrations/fsdp.py", "repo_id": "transformers", "token_count": 345 }
/*! ************************************************************************************************** * 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/deformable_detr/cuda/ms_deform_attn_cuda.cu/0
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#include "cuda_kernel.h" ////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////// __global__ void index_max_cuda_kernel( float *index_vals, // [batch_size, 32, num_block...
transformers/src/transformers/kernels/mra/cuda_kernel.cu/0
{ "file_path": "transformers/src/transformers/kernels/mra/cuda_kernel.cu", "repo_id": "transformers", "token_count": 5563 }
# 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/modeling_tf_utils.py/0
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# 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/src/transformers/models/auto/__init__.py/0
{ "file_path": "transformers/src/transformers/models/auto/__init__.py", "repo_id": "transformers", "token_count": 8478 }
# 🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨🚨 # This file was automatically generated from src/transformers/models/bamba/modular_bamba.py. # Do NOT edit this file manually as any edits will be overwritten by the generation of # ...
transformers/src/transformers/models/bamba/modeling_bamba.py/0
{ "file_path": "transformers/src/transformers/models/bamba/modeling_bamba.py", "repo_id": "transformers", "token_count": 34250 }
# coding=utf-8 # Copyright 2018 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/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py/0
{ "file_path": "transformers/src/transformers/models/bert/convert_bert_pytorch_checkpoint_to_original_tf.py", "repo_id": "transformers", "token_count": 1660 }
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/blip_2/convert_blip_2_original_to_pytorch.py/0
{ "file_path": "transformers/src/transformers/models/blip_2/convert_blip_2_original_to_pytorch.py", "repo_id": "transformers", "token_count": 7314 }
# coding=utf-8 # Copyright 2023 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/models/bros/convert_bros_to_pytorch.py/0
{ "file_path": "transformers/src/transformers/models/bros/convert_bros_to_pytorch.py", "repo_id": "transformers", "token_count": 2040 }
# coding=utf-8 # Copyright Google AI 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/LICENSE-2.0 # #...
transformers/src/transformers/models/canine/tokenization_canine.py/0
{ "file_path": "transformers/src/transformers/models/canine/tokenization_canine.py", "repo_id": "transformers", "token_count": 3904 }
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/clap/convert_clap_original_pytorch_to_hf.py/0
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# coding=utf-8 # Copyright 2024 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/models/colpali/convert_colpali_weights_to_hf.py/0
{ "file_path": "transformers/src/transformers/models/colpali/convert_colpali_weights_to_hf.py", "repo_id": "transformers", "token_count": 3091 }
# 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/LICENSE-2.0 # # Unless r...
transformers/src/transformers/models/dab_detr/configuration_dab_detr.py/0
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# coding=utf-8 # Copyright 2022 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/models/data2vec/modeling_data2vec_text.py/0
{ "file_path": "transformers/src/transformers/models/data2vec/modeling_data2vec_text.py", "repo_id": "transformers", "token_count": 29920 }
# coding=utf-8 # Copyright 2020 Microsoft 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 required...
transformers/src/transformers/models/deberta_v2/tokenization_deberta_v2.py/0
{ "file_path": "transformers/src/transformers/models/deberta_v2/tokenization_deberta_v2.py", "repo_id": "transformers", "token_count": 9334 }
# coding=utf-8 # Copyright 2021 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/models/deit/convert_deit_timm_to_pytorch.py/0
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