repo_id stringlengths 15 89 | file_path stringlengths 27 180 | content stringlengths 1 2.23M | __index_level_0__ int64 0 0 |
|---|---|---|---|
hf_public_repos/accelerate/src/accelerate/commands | hf_public_repos/accelerate/src/accelerate/commands/menu/__init__.py | from .selection_menu import BulletMenu
| 0 |
hf_public_repos/accelerate/src/accelerate/commands | hf_public_repos/accelerate/src/accelerate/commands/menu/cursor.py | # Copyright 2022 The HuggingFace Team and Brian Chao. 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 requir... | 0 |
hf_public_repos/accelerate/src/accelerate/commands | hf_public_repos/accelerate/src/accelerate/commands/menu/keymap.py | # Copyright 2022 The HuggingFace Team and Brian Chao. 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 requir... | 0 |
hf_public_repos | hf_public_repos/transformers/README_te.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/CODE_OF_CONDUCT.md |
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level o... | 0 |
hf_public_repos | hf_public_repos/transformers/README_zh-hant.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/ISSUES.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/README.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/pyproject.toml | [tool.ruff]
# Never enforce `E501` (line length violations).
ignore = ["C901", "E501", "E741", "F402", "F823" ]
select = ["C", "E", "F", "I", "W"]
line-length = 119
# Ignore import violations in all `__init__.py` files.
[tool.ruff.per-file-ignores]
"__init__.py" = ["E402", "F401", "F403", "F811"]
"src/transformers/fil... | 0 |
hf_public_repos | hf_public_repos/transformers/README_pt-br.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/.coveragerc | [run]
source=transformers
omit =
# skip convertion scripts from testing for now
*/convert_*
*/__main__.py
[report]
exclude_lines =
pragma: no cover
raise
except
register_parameter | 0 |
hf_public_repos | hf_public_repos/transformers/README_ja.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/CONTRIBUTING.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/README_hd.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/setup.py | # 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... | 0 |
hf_public_repos | hf_public_repos/transformers/README_ru.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/CITATION.cff | cff-version: "1.2.0"
date-released: 2020-10
message: "If you use this software, please cite it using these metadata."
title: "Transformers: State-of-the-Art Natural Language Processing"
url: "https://github.com/huggingface/transformers"
authors:
- family-names: Wolf
given-names: Thomas
- family-names: Debut
... | 0 |
hf_public_repos | hf_public_repos/transformers/README_zh-hans.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/README_ko.md | <!---
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 ... | 0 |
hf_public_repos | hf_public_repos/transformers/SECURITY.md | # Security Policy
## Reporting a Vulnerability
🤗 We have our bug bounty program set up with HackerOne. Please feel free to submit vulnerability reports to our private program at https://hackerone.com/hugging_face.
Note that you'll need to be invited to our program, so send us a quick email at security@huggingface.co... | 0 |
hf_public_repos | hf_public_repos/transformers/Makefile | .PHONY: deps_table_update modified_only_fixup extra_style_checks quality style fixup fix-copies test test-examples
# make sure to test the local checkout in scripts and not the pre-installed one (don't use quotes!)
export PYTHONPATH = src
check_dirs := examples tests src utils
exclude_folders := examples/research_pr... | 0 |
hf_public_repos | hf_public_repos/transformers/awesome-transformers.md | # Awesome projects built with Transformers
This page lists awesome projects built on top of Transformers. Transformers is more than a toolkit to use pretrained
models: it's a community of projects built around it and the Hugging Face Hub. We want Transformers to enable
developers, researchers, students, professors, en... | 0 |
hf_public_repos | hf_public_repos/transformers/hubconf.py | # 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... | 0 |
hf_public_repos | hf_public_repos/transformers/conftest.py | # 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... | 0 |
hf_public_repos | hf_public_repos/transformers/LICENSE | Copyright 2018- The Hugging Face team. All rights reserved.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" ... | 0 |
hf_public_repos | hf_public_repos/transformers/README_es.md | <!---
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 ... | 0 |
hf_public_repos/transformers | hf_public_repos/transformers/model_cards/README.md | ## 🔥 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 ... | 0 |
hf_public_repos/transformers | hf_public_repos/transformers/scripts/check_tokenizers.py | from collections import Counter
import datasets
import transformers
from transformers.convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from transformers.utils import logging
logging.set_verbosity_info()
TOKENIZER_CLASSES = {
name: (getattr(transformers, name), getattr(transformers, name + "Fast")) for nam... | 0 |
hf_public_repos/transformers | hf_public_repos/transformers/scripts/stale.py | # 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
#
... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/pegasus/build_test_sample_spm_no_bos.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/eval-allenai-wmt19.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/fsmt-make-tiny-model.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/convert-allenai-wmt19.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/s3-move.sh |
# this is the process of uploading the updated models to s3. As I can't upload them directly to the correct orgs, this script shows how this is done
# 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 comp... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/gen-card-allenai-wmt16.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/eval-allenai-wmt16.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/tests-to-run.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/gen-card-allenai-wmt19.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/convert-facebook-wmt19.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/convert-allenai-wmt16.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/eval-facebook-wmt19.sh | #!/usr/bin/env bash
# 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 r... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/fsmt-make-super-tiny-model.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/fsmt/gen-card-facebook-wmt19.py | #!/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... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/tatoeba/README.md | <!---
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 ... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/tatoeba/upload_models.sh | #!/bin/bash
for FILE in converted/*; do
model_name=`basename $FILE`
huggingface-cli repo create $model_name -y
git clone https://huggingface.co/Helsinki-NLP/$model_name
mv $FILE/* $model_name/
cd $model_name
git add . && git commit -m "initial commit"
git push
cd ..
done
| 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/benchmark/trainer-benchmark.py | #!/usr/bin/env python
# HF Trainer benchmarking tool
#
# This tool can be used to run and compare multiple dimensions of the HF Trainers args.
#
# It then prints a report once in github format with all the information that needs to be shared
# with others and second time in a console-friendly format, so it's easier to... | 0 |
hf_public_repos/transformers/scripts | hf_public_repos/transformers/scripts/distributed/torch-distributed-gpu-test.py | #!/usr/bin/env python
#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 to... | 0 |
hf_public_repos/transformers | hf_public_repos/transformers/examples/run_on_remote.py | #!/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... | 0 |
hf_public_repos/transformers | hf_public_repos/transformers/examples/README.md | <!---
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 a... | 0 |
hf_public_repos/transformers/examples | hf_public_repos/transformers/examples/research_projects/README.md | <!---
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 ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/fsner/README.md | <p align="center"> <img src="http://sayef.tech:8082/uploads/FSNER-LOGO-2.png" alt="FSNER LOGO"> </p>
<p align="center">
Implemented by <a href="https://huggingface.co/sayef"> sayef </a>.
</p>
## Overview
The FSNER model was proposed in [Example-Based Named Entity Recognition](https://arxiv.org/abs/2008.10570) by ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/fsner/pyproject.toml | [build-system]
requires = [
"setuptools>=57.4.0",
"wheel>=0.37.0",
"transformers>=4.9.2"
]
build-backend = "setuptools.build_meta" | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/fsner/requirements.txt | transformers>=4.9.2 | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/fsner/setup.py | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="fsner",
version="0.0.1",
author="msi sayef",
author_email="msi.sayef@gmail.com",
description="Few-shot Named Entity Recognition",
long_description=long_description,
... | 0 |
hf_public_repos/transformers/examples/research_projects/fsner/src | hf_public_repos/transformers/examples/research_projects/fsner/src/fsner/model.py | import torch
from transformers import AutoModel
class FSNERModel(torch.nn.Module):
"""
The FSNER model implements a few-shot named entity recognition method from the paper `Example-Based Named Entity Recognition <https://arxiv.org/abs/2008.10570>`__ by
Morteza Ziyadi, Yuting Sun, Abhishek Goswami, Jade H... | 0 |
hf_public_repos/transformers/examples/research_projects/fsner/src | hf_public_repos/transformers/examples/research_projects/fsner/src/fsner/tokenizer_utils.py | import torch
from transformers import AutoTokenizer
class FSNERTokenizerUtils(object):
def __init__(self, pretrained_model_name_or_path):
self.tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path)
def tokenize(self, x):
"""
Wrapper function for tokenizing query and... | 0 |
hf_public_repos/transformers/examples/research_projects/fsner/src | hf_public_repos/transformers/examples/research_projects/fsner/src/fsner/__init__.py | from .model import FSNERModel
from .tokenizer_utils import FSNERTokenizerUtils
__all__ = ["FSNERModel", "FSNERTokenizerUtils"]
| 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/adversarial/README.md | ## Adversarial evaluation of model performances
Here is an example on evaluating a model using adversarial evaluation of natural language inference with the Heuristic Analysis for NLI Systems (HANS) dataset [McCoy et al., 2019](https://arxiv.org/abs/1902.01007). The example was gracefully provided by [Nafise Sadat Moo... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/adversarial/requirements.txt | transformers == 3.5.1
| 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/adversarial/utils_hans.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/adversarial/run_hans.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/pplm/run_pplm_discrim_train.py | #! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2019 Uber Technologies, 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
#
# Unless ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/pplm/pplm_classification_head.py | from torch import nn
class ClassificationHead(nn.Module):
"""Classification Head for transformer encoders"""
def __init__(self, class_size, embed_size):
super().__init__()
self.class_size = class_size
self.embed_size = embed_size
# self.mlp1 = nn.Linear(embed_size, embed_size... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/pplm/README.md | # Plug and Play Language Models: a Simple Approach to Controlled Text Generation
Authors: [Sumanth Dathathri](https://dathath.github.io/), [Andrea Madotto](https://andreamad8.github.io/), Janice Lan, Jane Hung, Eric Frank, [Piero Molino](https://w4nderlu.st/), [Jason Yosinski](http://yosinski.com/), and [Rosanne Liu](... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/pplm/requirements.txt | tensorboard
scikit-learn
seqeval
psutil
sacrebleu
rouge-score
tensorflow_datasets
pytorch-lightning
matplotlib
git-python==1.0.3
faiss-cpu
streamlit
elasticsearch
nltk
pandas
datasets >= 1.1.3
fire
pytest
conllu
sentencepiece != 0.1.92
protobuf
transformers==3.5.1
| 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/pplm/run_pplm.py | #! /usr/bin/env python3
# coding=utf-8
# Copyright (c) 2019 Uber Technologies, 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
#
# Unless ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/longform-qa/README.md | # Long Form Question Answering
Author: @yjernite
This folder contains the code for the Long Form Question answering [demo](http://35.226.96.115:8080/) as well as methods to train and use a fully end-to-end Long Form Question Answering system using the [🤗transformers](https://github.com/huggingface/transformers) and ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/longform-qa/eli5_utils.py | 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... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/longform-qa/requirements.txt | datasets >= 1.1.3
faiss-cpu
streamlit
elasticsearch
| 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/longform-qa/eli5_app.py | import datasets
import faiss
import numpy as np
import streamlit as st
import torch
from elasticsearch import Elasticsearch
from eli5_utils import (
embed_questions_for_retrieval,
make_qa_s2s_model,
qa_s2s_generate,
query_es_index,
query_qa_dense_index,
)
import transformers
from transformers impor... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/masked_run_glue.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/Saving_PruneBERT.ipynb | # Includes
import h5py
import os
import json
from collections import OrderedDict
from scipy import sparse
import numpy as np
import torch
from torch import nn
from transformers import *
os.chdir("../../")# Load fine-pruned model and quantize the model
model = BertForQuestionAnswering.from_pretrained("huggingface/... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/README.md | # Movement Pruning: Adaptive Sparsity by Fine-Tuning
Author: @VictorSanh
*Magnitude pruning is a widely used strategy for reducing model size in pure supervised learning; however, it is less effective in the transfer learning regime that has become standard for state-of-the-art natural language processing application... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/counts_parameters.py | # Copyright 2020-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 applicable law o... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/bertarize.py | # Copyright 2020-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 applicable law o... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/requirements.txt | torch>=1.4.0
-e git+https://github.com/huggingface/transformers.git@352d5472b0c1dec0f420d606d16747d851b4bda8#egg=transformers
knockknock>=0.1.8.1
h5py>=2.10.0
numpy>=1.18.2
scipy>=1.4.1
| 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/movement-pruning/masked_run_squad.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/configuration_bert_masked.py | # 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... | 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/__init__.py | from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
MaskedBertForMultipleChoice,
MaskedBertForQuestionAnswering,
MaskedBertForSequenceClassification,
MaskedBertForTokenClassification,
MaskedBertModel,
)
from .modules import *
| 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/modules/masked_nn.py | # coding=utf-8
# Copyright 2020-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... | 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/modules/__init__.py | from .binarizer import MagnitudeBinarizer, ThresholdBinarizer, TopKBinarizer
from .masked_nn import MaskedLinear
| 0 |
hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental | hf_public_repos/transformers/examples/research_projects/movement-pruning/emmental/modules/binarizer.py | # coding=utf-8
# Copyright 2020-present, AllenAI Authors, University of Illinois Urbana-Champaign,
# Intel Nervana Systems 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 ... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/jax-projects/README.md | # Flax/JAX community week 🤗
Welcome to the Flax/JAX community week! The goal of this week is to make compute-intensive NLP and CV projects (like pre-training BERT, GPT2, CLIP, ViT)
practicable for a wider audience of engineers and researchers.
To do so, we will try to teach **you** how to effectively use JAX/Flax o... | 0 |
hf_public_repos/transformers/examples/research_projects | hf_public_repos/transformers/examples/research_projects/jax-projects/HOW_TO_PROPOSE_PROJECT.md | # How to propose a Flax/JAX + Transformers project
Great that you've opened this document!
While we at 🤗 are proposing a couple of projects, we strongly
believe that the community can come up with much more **creative**, **fun**, and
**impactful** projects on their own. This being said, we are really looking forw... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/dataset-streaming/README.md | <!---
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 ... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py | #!/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-... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/README.md |
Author: [@vasudevgupta7](https://github.com/thevasudevgupta/)
## Intro
In this project, we fine-tuned [**BigBird**](https://arxiv.org/abs/2007.14062) on [**natural-questions**](https://huggingface.co/datasets/natural_questions) dataset for **question-answering** task on long documents. **BigBird**, is a **sparse-att... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/requirements.txt | git+https://github.com/huggingface/transformers@main
datasets
sentencepiece
wandb
flax
jsonlines
| 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/prepare_natural_questions.py | 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... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/train.py | import os
from dataclasses import replace
import jax
import wandb
from bigbird_flax import Args, DataCollator, FlaxBigBirdForNaturalQuestions, Trainer, build_tx, train_step, val_step
from datasets import load_dataset
from flax import jax_utils
from transformers import BigBirdTokenizerFast
if __name__ == "__main__":... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/bigbird_flax.py | import json
import os
from dataclasses import dataclass
from functools import partial
from typing import Callable
import flax.linen as nn
import jax
import jax.numpy as jnp
import joblib
import optax
import wandb
from flax import jax_utils, struct, traverse_util
from flax.serialization import from_bytes, to_bytes
from... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/sweep_flax.yaml | command:
- python3
- train.py
method: random
parameters:
lr:
values: [4e-5, 3e-5]
warmup_steps:
values: [20000, 15000, 10000, 5000]
weight_decay:
distribution: normal
mu: 1e-2
sigma: 2e-3
metric:
... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/big_bird/evaluate.py | 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(["‘", "’", "´", "`", ".", ",",... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/model_parallel/README.md | <!---
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 ... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/model_parallel/run_clm_mp.py | #!/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-... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/model_parallel/partitions.py | #!/usr/bin/env python
# coding=utf-8
# Copyright 2021 The Google Research Authors and 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://... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py | #!/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-... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/hybrid_clip/configuration_hybrid_clip.py | import copy
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
class HybridCLIPConfig(PretrainedConfig):
r"""
:class:`HybridCLIPConfig` is the configuration class to store the configuration of a
:class:`~HybridCLIPM... | 0 |
hf_public_repos/transformers/examples/research_projects/jax-projects | hf_public_repos/transformers/examples/research_projects/jax-projects/hybrid_clip/README.md | <!---
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 ... | 0 |
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