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:
- 31d896c0de05b7f3c656b87c32266b62e6ff53ffb3a028a2532544212904c073
- Size of remote file:
- 2.44 GB
- SHA256:
- e7486d601c6a18aacfdfeed2bd2b54565c661839b313247cd4bc7278b0704927
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