Instructions to use jxm/t5_base__llama-7b__one-million-instructions__correct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxm/t5_base__llama-7b__one-million-instructions__correct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jxm/t5_base__llama-7b__one-million-instructions__correct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07e11300711457bed68de051137c7c805e431bf25879299913c60e9f8627e5f9
- Size of remote file:
- 2.74 GB
- SHA256:
- f8770cf1085e2a3f04de87aa93ceaaee2a65f263e20214a3137a81682ea9a039
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