Instructions to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 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, "tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f30e9c2799af59b96eca2aee383deb83c5f640fc1c6a43dca0ed0f2b55e85c9d
- Size of remote file:
- 1.06 kB
- SHA256:
- 1a982b0cf4aa3113be3ccf8c7c44abbcbdbc330e78e6392b70eb543df2118de5
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