Instructions to use sagawa/CompoundT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagawa/CompoundT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sagawa/CompoundT5") model = AutoModelForSeq2SeqLM.from_pretrained("sagawa/CompoundT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sagawa/CompoundT5: direct link, hf CLI and curl.
- Browser
- Download file 794 MB
-
https://huggingface.co/sagawa/CompoundT5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sagawa/CompoundT5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sagawa/CompoundT5/resolve/main/pytorch_model.bin
794 MB
- Xet hash:
- 7252eccd1ce637330cabaf658f9e85ed68807a8847952060405f4bddba53126f
- Size of remote file:
- 794 MB
- SHA256:
- 3a7f13d49e4a7ac769b7718890a7f49e509de493f577e7dd5730068d2becdd77
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