Instructions to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "risolmayo/31f2c202-4cff-4d57-99bb-425f233050e8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e66ab2a36477a8579bf1dd70e30be81b8e2b55fe5513ceb70edb4d9443f48505
- Size of remote file:
- 6.84 kB
- SHA256:
- 9f2a6d53e78ab0ac3b6ab5f275939837ec4649f38383038c918d62343997ca7a
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