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:
- 9b522a78603c73000c9cfd6a617a1717cae51da1edd519018d2161d07758566b
- Size of remote file:
- 336 MB
- SHA256:
- 1d59d84824153121e0686084f8ab416949a7f992603cd2f6a530b632267594ac
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