Instructions to use nttx/ad9f453e-22cb-4217-bc93-2897041e133d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/ad9f453e-22cb-4217-bc93-2897041e133d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nttx/ad9f453e-22cb-4217-bc93-2897041e133d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86a0ec97911b69c8e6b18ba59d30ba645d2eeb8b014cdc674311392034a87a8a
- Size of remote file:
- 168 MB
- SHA256:
- 954d4eeb910644e5ce6263bb8aa0b97e996e085e5f14fe06a73a13b1ce646624
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