visualchat_transformers
The modified transformers package used for visualchat+baichuan2
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (1.8%) to scientific vocabulary
Last synced: 10 months ago
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Repository
The modified transformers package used for visualchat+baichuan2
Basic Info
- Host: GitHub
- Owner: tangyoubaocs
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 13.7 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
Contributing
License
Code of conduct
Citation
README.md
Install this transformers (4.33.3) package from the source
bash
git clone https://tangyoubaocs/visualchat_transformers.git
cd visualchat_transformers
pip install -e .
Owner
- Name: tangyoubao022
- Login: tangyoubaocs
- Kind: user
- Repositories: 3
- Profile: https://github.com/tangyoubaocs
Citation (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
given-names: Lysandre
- family-names: Sanh
given-names: Victor
- family-names: Chaumond
given-names: Julien
- family-names: Delangue
given-names: Clement
- family-names: Moi
given-names: Anthony
- family-names: Cistac
given-names: Perric
- family-names: Ma
given-names: Clara
- family-names: Jernite
given-names: Yacine
- family-names: Plu
given-names: Julien
- family-names: Xu
given-names: Canwen
- family-names: "Le Scao"
given-names: Teven
- family-names: Gugger
given-names: Sylvain
- family-names: Drame
given-names: Mariama
- family-names: Lhoest
given-names: Quentin
- family-names: Rush
given-names: "Alexander M."
preferred-citation:
type: conference-paper
authors:
- family-names: Wolf
given-names: Thomas
- family-names: Debut
given-names: Lysandre
- family-names: Sanh
given-names: Victor
- family-names: Chaumond
given-names: Julien
- family-names: Delangue
given-names: Clement
- family-names: Moi
given-names: Anthony
- family-names: Cistac
given-names: Perric
- family-names: Ma
given-names: Clara
- family-names: Jernite
given-names: Yacine
- family-names: Plu
given-names: Julien
- family-names: Xu
given-names: Canwen
- family-names: "Le Scao"
given-names: Teven
- family-names: Gugger
given-names: Sylvain
- family-names: Drame
given-names: Mariama
- family-names: Lhoest
given-names: Quentin
- family-names: Rush
given-names: "Alexander M."
booktitle: "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations"
month: 10
start: 38
end: 45
title: "Transformers: State-of-the-Art Natural Language Processing"
year: 2020
publisher: "Association for Computational Linguistics"
url: "https://www.aclweb.org/anthology/2020.emnlp-demos.6"
address: "Online"
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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- wrapt ==1.14.0
- xxhash ==3.0.0
- yarl ==1.7.2
- zipp ==3.7.0
examples/research_projects/deebert/requirements.txt
pypi
- transformers ==3.5.1
examples/research_projects/distillation/requirements.txt
pypi
- gitpython ==3.1.32
- psutil ==5.6.6
- scipy >=1.4.1
- tensorboard >=1.14.0
- tensorboardX ==1.8
- transformers *
examples/research_projects/fsner/pyproject.toml
pypi
examples/research_projects/fsner/requirements.txt
pypi
- transformers >=4.9.2
examples/research_projects/fsner/setup.py
pypi
- torch >=1.9.0
examples/research_projects/information-gain-filtration/requirements.txt
pypi
- joblib >=0.13.2
- matplotlib *
- numpy >=1.17.2
- scipy *
- torch >=1.10.1
- transformers >=3.5
examples/research_projects/jax-projects/big_bird/requirements.txt
pypi
- datasets *
- flax *
- jsonlines *
- sentencepiece *
- wandb *
examples/research_projects/jax-projects/hybrid_clip/requirements.txt
pypi
- flax >=0.3.5
- jax >=0.2.8
- jaxlib >=0.1.59
- optax >=0.0.8
- torch ==1.9.0
- torchvision ==0.10.0
examples/research_projects/layoutlmv3/requirements.txt
pypi
- datasets *
- pillow *
- seqeval *
examples/research_projects/longform-qa/requirements.txt
pypi
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- streamlit *
examples/research_projects/lxmert/requirements.txt
pypi
- CacheControl ==0.12.6
- Jinja2 >=2.11.3
- MarkupSafe ==1.1.1
- Pillow >=8.1.1
- PyYAML >=5.4
- Pygments >=2.7.4
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appdirs ==1.4.3
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.2.0
- backcall ==0.2.0
- certifi ==2023.7.22
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- colorama ==0.4.3
- contextlib2 ==0.6.0
- cycler ==0.10.0
- datasets ==1.0.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.2
- distlib ==0.3.0
- distro ==1.4.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.3
- html5lib ==1.0.1
- idna ==2.8
- ipaddr ==2.2.0
- ipykernel ==5.3.4
- ipython *
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.2
- joblib ==1.2.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.7
- jupyter-console ==6.2.0
- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- kiwisolver ==1.2.0
- lockfile ==0.12.2
- matplotlib ==3.3.1
- mistune ==2.0.3
- msgpack ==0.6.2
- nbclient ==0.5.0
- nbconvert ==6.5.1
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.4.12
- numpy ==1.22.0
- opencv-python ==4.4.0.42
- packaging ==20.3
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pep517 ==0.8.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- progress ==1.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- ptyprocess ==0.6.0
- pyaml ==20.4.0
- pyarrow ==1.0.1
- pycparser ==2.20
- pyparsing ==2.4.6
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytoml ==0.1.21
- pytz ==2020.1
- pyzmq ==19.0.2
- qtconsole ==4.7.7
- regex ==2020.7.14
- requests ==2.31.0
- retrying ==1.3.3
- sacremoses ==0.0.43
- sentencepiece ==0.1.91
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tokenizers ==0.8.1rc2
- torch ==1.6.0
- torchvision ==0.7.0
- tornado ==6.3.3
- tqdm ==4.48.2
- traitlets *
- urllib3 ==1.26.5
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wget ==3.2
- widgetsnbextension ==3.5.1
- xxhash ==2.0.0
examples/research_projects/mlm_wwm/requirements.txt
pypi
- datasets >=1.1.3
- ltp *
- protobuf *
- sentencepiece *
examples/research_projects/movement-pruning/requirements.txt
pypi
- h5py >=2.10.0
- knockknock >=0.1.8.1
- numpy >=1.18.2
- scipy >=1.4.1
- torch >=1.4.0
examples/research_projects/onnx/summarization/requirements.txt
pypi
- torch >=1.10
examples/research_projects/pplm/requirements.txt
pypi
- conllu *
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- fire *
- git-python ==1.0.3
- matplotlib *
- nltk *
- pandas *
- protobuf *
- psutil *
- pytest *
- pytorch-lightning *
- rouge-score *
- sacrebleu *
- scikit-learn *
- sentencepiece *
- seqeval *
- streamlit *
- tensorboard *
- tensorflow_datasets *
- transformers ==3.5.1
examples/research_projects/rag/requirements.txt
pypi
- GitPython *
- datasets >=1.0.1
- faiss-cpu >=1.6.3
- psutil >=5.7.0
- pytorch-lightning >=1.5.10,<=1.6.0
- ray >=1.10.0
- torch >=1.4.0
- transformers *
examples/research_projects/rag-end2end-retriever/requirements.txt
pypi
- datasets *
- faiss-cpu >=1.7.2
- nvidia-ml-py3 ==7.352.0
- psutil >=5.9.1
- pytorch-lightning ==1.6.4
- ray >=1.13.0
- torch >=1.11.0
examples/research_projects/self-training-text-classification/requirements.txt
pypi
- accelerate *
- datasets >=1.8.0
- protobuf *
- scikit-learn *
- scipy *
- sentencepiece *
- torch >=1.3
examples/research_projects/seq2seq-distillation/requirements.txt
pypi
- conllu *
- datasets >=1.1.3
- elasticsearch *
- faiss-cpu *
- fire *
- git-python ==1.0.3
- matplotlib *
- nltk *
- pandas *
- protobuf *
- psutil *
- pytest *
- pytorch-lightning *
- rouge-score *
- sacrebleu *
- scikit-learn *
- sentencepiece *
- streamlit *
- tensorboard *
- tensorflow_datasets *
examples/research_projects/tapex/requirements.txt
pypi
- datasets *
- nltk *
- numpy *
- pandas *
examples/research_projects/visual_bert/requirements.txt
pypi
- CacheControl ==0.12.6
- Jinja2 >=2.11.3
- MarkupSafe ==1.1.1
- Pillow >=8.1.1
- PyYAML >=5.4
- Pygments >=2.7.4
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- appdirs ==1.4.3
- argon2-cffi ==20.1.0
- async-generator ==1.10
- attrs ==20.2.0
- backcall ==0.2.0
- certifi ==2023.7.22
- cffi ==1.14.2
- chardet ==3.0.4
- click ==7.1.2
- colorama ==0.4.3
- contextlib2 ==0.6.0
- cycler ==0.10.0
- datasets ==1.0.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- dill ==0.3.2
- distlib ==0.3.0
- distro ==1.4.0
- entrypoints ==0.3
- filelock ==3.0.12
- future ==0.18.3
- html5lib ==1.0.1
- idna ==2.8
- ipaddr ==2.2.0
- ipykernel ==5.3.4
- ipython *
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.2
- joblib ==1.2.0
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.1.7
- jupyter-console ==6.2.0
- jupyter-core ==4.6.3
- jupyterlab-pygments ==0.1.1
- kiwisolver ==1.2.0
- lockfile ==0.12.2
- matplotlib ==3.3.1
- mistune ==2.0.3
- msgpack ==0.6.2
- nbclient ==0.5.0
- nbconvert ==6.5.1
- nbformat ==5.0.7
- nest-asyncio ==1.4.0
- notebook ==6.4.12
- numpy ==1.22.0
- opencv-python ==4.4.0.42
- packaging ==20.3
- pandas ==1.1.2
- pandocfilters ==1.4.2
- parso ==0.7.1
- pep517 ==0.8.2
- pexpect ==4.8.0
- pickleshare ==0.7.5
- progress ==1.5
- prometheus-client ==0.8.0
- prompt-toolkit ==3.0.7
- ptyprocess ==0.6.0
- pyaml ==20.4.0
- pyarrow ==1.0.1
- pycparser ==2.20
- pyparsing ==2.4.6
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytoml ==0.1.21
- pytz ==2020.1
- pyzmq ==19.0.2
- qtconsole ==4.7.7
- regex ==2020.7.14
- requests ==2.31.0
- retrying ==1.3.3
- sacremoses ==0.0.43
- sentencepiece ==0.1.91
- six ==1.14.0
- terminado ==0.8.3
- testpath ==0.4.4
- tokenizers ==0.8.1rc2
- torch ==1.6.0
- torchvision ==0.7.0
- tornado ==6.3.3
- tqdm ==4.48.2
- traitlets *
- urllib3 ==1.26.5
- wcwidth ==0.2.5
- webencodings ==0.5.1
- wget ==3.2
- widgetsnbextension ==3.5.1
- xxhash ==2.0.0
examples/research_projects/vqgan-clip/requirements.txt
pypi
- Pillow *
- PyYAML *
- einops *
- gradio *
- icecream *
- imageio *
- lpips *
- matplotlib *
- more_itertools *
- numpy *
- omegaconf *
- opencv_python_headless *
- pudb *
- pytorch_lightning *
- requests *
- scikit_image *
- scipy *
- setuptools *
- streamlit *
- taming-transformers *
- tokenizers ==0.13.2
- torch *
- torchvision *
- tqdm *
- transformers ==4.26.0
- typing_extensions *
- wandb *
examples/research_projects/wav2vec2/requirements.txt
pypi
- datasets *
- jiwer ==2.2.0
- lang-trans ==0.6.0
- librosa ==0.8.0
- torch >=1.5.0
- torchaudio *
- transformers *
examples/research_projects/xtreme-s/requirements.txt
pypi
- datasets >=1.18.0
- jiwer *
- librosa *
- torch >=1.5
- torchaudio *
examples/tensorflow/_tests_requirements.txt
pypi
- conllu * test
- datasets >=1.13.3 test
- elasticsearch * test
- evaluate >=0.2.0 test
- faiss-cpu * test
- fire * test
- git-python ==1.0.3 test
- jiwer * test
- librosa * test
- matplotlib * test
- nltk * test
- pandas * test
- protobuf * test
- psutil * test
- pytest * test
- rouge-score * test
- sacrebleu >=1.4.12 test
- scikit-learn * test
- sentencepiece * test
- seqeval * test
- streamlit * test
- tensorboard * test
- tensorflow <2.15 test
- tensorflow_datasets * test
examples/tensorflow/benchmarking/requirements.txt
pypi
- tensorflow >=2.3
examples/tensorflow/contrastive-image-text/requirements.txt
pypi
- datasets >=1.8.0
- tensorflow >=2.6.0
examples/tensorflow/image-classification/requirements.txt
pypi
- datasets >=1.17.0
- evaluate *
- tensorflow >=2.4
examples/tensorflow/language-modeling/requirements.txt
pypi
- datasets >=1.8.0
- sentencepiece *
examples/tensorflow/language-modeling-tpu/requirements.txt
pypi
- datasets ==2.9.0
- tokenizers ==0.13.2
- transformers ==4.26.1
examples/tensorflow/multiple-choice/requirements.txt
pypi
- protobuf *
- sentencepiece *
- tensorflow >=2.3
examples/tensorflow/question-answering/requirements.txt
pypi
- datasets >=1.4.0
- evaluate >=0.2.0
- tensorflow >=2.3.0