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:
- 29b6820166b589fc1e7f4f5ba9ef6c664d676853e697c48564d77d543381d17d
- Size of remote file:
- 168 MB
- SHA256:
- 7d7cbf13c05e6e227950eab9cf6f107ef1a2069228eb28446b96578318946a27
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