Instructions to use nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nhung02/6c0ff621-9fb4-4b3f-a3f8-171c02bdc0a4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 454f0cb6cac7f4b9f394533ff1c366f20f680c6b958c828c1c6327e557302f28
- Size of remote file:
- 2.19 GB
- SHA256:
- 18548b18faadf037d999bf70aeec845d0ebed92f1e79ff4113dd7f182a446914
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