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:
- 482dd390513b259b943a8854ba60a6233203ae678fbe00ba3844848950620e60
- Size of remote file:
- 6.78 kB
- SHA256:
- 8633e6eef0af0b49686b5d9fee68ec37e51497a788204335a975cd79bde9d271
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