Instructions to use vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69 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, "vdos/dfd28e65-6a48-4ec3-9ffd-feec646d0d69") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1a1a8b0bdec4516971edc9cb2a7cf8310627979b5c03eccee15773a2bd9812e
- Size of remote file:
- 336 MB
- SHA256:
- bfe66325e7892c741672fb36af7aa5163bb104656af524d904cb10555f5c6e46
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