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:
- c300179dc595256921078d1c20e39222cbc5e23d17549bac66c86eee2bc07da2
- Size of remote file:
- 6.84 kB
- SHA256:
- 95e6d2d9d15c1684d5031a59c40880f770a7707e7b445c1e0edccdc96c5944e4
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