Instructions to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "nhung03/873e3b31-5242-4d8f-ab15-b8b894d67836") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9364349d5783b64936d21872beaf728138ba889ddd9187d8d34c05986974792f
- Size of remote file:
- 6.78 kB
- SHA256:
- 83c771ef88f4d12ca176e8334a50ab3eb16ebb0c49d4dc0698759f7decf68715
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