Instructions to use bowphs/t5-homer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/t5-homer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bowphs/t5-homer") model = AutoModelForSeq2SeqLM.from_pretrained("bowphs/t5-homer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download opt_state.msgpack from bowphs/t5-homer: direct link, hf CLI and curl.
- Browser
- Download file 2.45 MB
-
https://huggingface.co/bowphs/t5-homer/resolve/main/opt_state.msgpack
- Command line
-
hf download hf://bowphs/t5-homer/opt_state.msgpack
-
curl -L -o opt_state.msgpack https://huggingface.co/bowphs/t5-homer/resolve/main/opt_state.msgpack
2.45 MB
- Xet hash:
- ef8521c4f094ef4ae8315f71360f8c081c446e37c932a9730755428303ee6aaf
- Size of remote file:
- 2.45 MB
- SHA256:
- 4203dd8db28520f80f60aff18a2b35baaf38d90ba4baa0c8572af3d0f1028808
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