@@ -2480,6 +2480,61 @@ (define-public python-cutlery
@end itemize")
(license license:expat)))
+(define-public python-curated-transformers
+ (package
+ (name "python-curated-transformers")
+ (version "0.1.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (pypi-uri "curated-transformers" version))
+ (sha256
+ (base32 "04k54r5cxjl3l7xs4kx4cfnqsjr7gdlr577sp7sl7qgrk3kfqjbm"))))
+ (build-system pyproject-build-system)
+ (arguments
+ (list
+ #:test-flags
+ '(list ; Most ignored tests require network.
+ "--ignore=curated_transformers/tests/tokenizers/test_auto_tokenizer.py"
+ "-k" (string-append "not test_special_pieces"
+ " and not test_auto_encoder"
+ " and not test_auto_decoder"
+ " and not test_auto_causal_lm"
+ " and not test_from_hf_hub_to_cache"
+ " and not test_from_hf_hub_to_cache_legacy"
+ " and not test_checkpoint_type_without_safetensors"
+ " and not test_hf_hub_failures"
+ ;; These have been added when downgrading curated_tokenizers.
+ " and not test_camembert_tokenizer_toy_tokenizer"
+ " and not test_roberta_tokenizer"
+ " and not test_xlmr_toy_tokenizer"))))
+ (propagated-inputs (list python-catalogue
+ python-cutlery
+ python-huggingface-hub
+ python-pytorch
+ python-tokenizers))
+ (native-inputs (list python-pytest))
+ (home-page "https://github.com/explosion/curated-transformers")
+ (synopsis "PyTorch library of transformer models and components")
+ (description
+ "This package provides a @code{PyTorch} library of transformer models and
+components. It helps to download state-of-the-art models that are composed
+from a set of reusable components. The stand-out features of Curated
+Transformer are:
+
+@itemize
+@item Supports state-of-the art transformer models, including LLMs such as
+Falcon, Llama, and Dolly v2.
+@item Each model is composed from a set of reusable building blocks, providing
+many benefits: implementing a feature or bugfix benefits all models ; Adding
+new models to the library is low-effort.
+@item Consistent type annotations of all public APIs, hence a great coding
+support from IDEs. Integrates well with your existing type-checked code.
+@item Great for education, because the building blocks are easy to study.
+@item Minimal dependencies.
+@end itemize")
+ (license license:expat)))
+
(define-public python-autograd
(let* ((commit "c6d81ce7eede6db801d4e9a92b27ec5d409d0eab")
(revision "0")