Instructions to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "1-lock/4bfc3447-f9d8-4ba1-932b-c6d2484e0e24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 184b5d4abd4e160aa8e639adfa6df6df7a294c7c23d8f8e1f78f3bcb4b4e1d33
- Size of remote file:
- 6.84 kB
- SHA256:
- 3a370230da11ad7a849f46a2f03c53ef73b7dda87db24c5c9f5c3e3a5ece2993
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