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setup.cfg
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setup.cfg
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[metadata]
version = 2.0.0
description = A PyTorch library of transformer models and components
url = https://github.com/explosion/curated-transformers
author = Explosion
author_email = [email protected]
license = MIT
license_file = LICENSE
long_description = file: README.md
long_description_content_type = text/markdown
[options]
zip_safe = true
include_package_data = true
python_requires = >=3.9
install_requires =
catalogue>=2.0.4,<2.1.0
curated-tokenizers>=2.0.0,<3.0.0
huggingface-hub>=0.14
tokenizers>=0.13.3
torch>=1.12.0
[options.extras_require]
quantization =
bitsandbytes>=0.40
# bitsandbytes has a dependency on scipy but doesn't
# list it as one for pip installs. So, we'll pull that
# in too (until it's rectified upstream).
scipy>=1.11
[options.entry_points]
curated_transformers_causal_lms =
curated-transformers.LlamaCausalLM = curated_transformers.models:LlamaCausalLM
curated-transformers.FalconCausalLM = curated_transformers.models:FalconCausalLM
curated-transformers.GPTNeoXCausalLM = curated_transformers.models:GPTNeoXCausalLM
curated-transformers.MPTCausalLM = curated_transformers.models:MPTCausalLM
curated_transformers_decoders =
curated-transformers.LlamaDecoder = curated_transformers.models:LlamaDecoder
curated-transformers.FalconDecoder = curated_transformers.models:FalconDecoder
curated-transformers.GPTNeoXDecoder = curated_transformers.models:GPTNeoXDecoder
curated-transformers.MPTDecoder = curated_transformers.models:MPTDecoder
curated_transformers_encoders =
curated-transformers.ALBERTEncoder = curated_transformers.models:ALBERTEncoder
curated-transformers.BERTEncoder = curated_transformers.models:BERTEncoder
curated-transformers.CamemBERTEncoder = curated_transformers.models:CamemBERTEncoder
curated-transformers.RoBERTaEncoder = curated_transformers.models:RoBERTaEncoder
curated-transformers.XLMREncoder = curated_transformers.models:XLMREncoder
[bdist_wheel]
universal = true
[sdist]
formats = gztar
[mypy]
exclude = tests
allow_redefinition = True
ignore_missing_imports = True
no_implicit_optional = True