Instructions to use 0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5 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, "0x1202/ad04e588-d36c-4fd5-ad55-e0ee695fd4c5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cec81eb1e91f3f5f85836066b18441d0fdadc8bf8d33023732d9889c829a5dd
- Size of remote file:
- 168 MB
- SHA256:
- 36dc83632a8ae44087e46677c83f7a1cae97d575cca76b52aa020c717662a618
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