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:
- 280a8a8e0944d59a2d84108a78f17c6645e0160d876059d77da800d16ca17139
- Size of remote file:
- 171 MB
- SHA256:
- 8a28ce728be1e6cb27a1eafb8b00c46205718b05b9a7e8cc0fefc752ca88abd3
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