Instructions to use BigSalmon/T5Salmon2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BigSalmon/T5Salmon2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BigSalmon/T5Salmon2") model = AutoModelForSeq2SeqLM.from_pretrained("BigSalmon/T5Salmon2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from BigSalmon/T5Salmon2: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/BigSalmon/T5Salmon2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://BigSalmon/T5Salmon2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/BigSalmon/T5Salmon2/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 74be7e0ac6d8e6a446baa3afe51936fb70891c3041af13a889d52ffee6d7a5e2
- Size of remote file:
- 892 MB
- SHA256:
- 36b1d37e5f7d67eb0f2abc7b45538c7159c6408830db949f2374e0845836a50b
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