Instructions to use BigSalmon/T5Salmon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/T5Salmon with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/T5Salmon") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/T5Salmon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from BigSalmon/T5Salmon: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/BigSalmon/T5Salmon/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://BigSalmon/T5Salmon/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/BigSalmon/T5Salmon/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- f2c5d9564d12070e82cf95def787223c474ad3fe3fda6ceb0e6402ae6740c6db
- Size of remote file:
- 892 MB
- SHA256:
- 38bf674b13f9ff28df0f0457459878bf498412d311730ee81a27414a5f324441
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