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:
# 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 flax_model.msgpack from sagawa/CompoundT5: direct link, hf CLI and curl.
- Browser
- Download file 794 MB
-
https://huggingface.co/sagawa/CompoundT5/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://sagawa/CompoundT5/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/sagawa/CompoundT5/resolve/main/flax_model.msgpack
794 MB
- Xet hash:
- a87a25c3d6fb010adaa383078e2b7003ad8762ee9a8e08ada569aa2de65a2664
- Size of remote file:
- 794 MB
- SHA256:
- 6b6055378c6cfa57354e16852e5955f3a1b01aaf26619e0136de81ff5e8c77ff
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