Instructions to use sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "sergioalves/941ba499-8922-4a5c-b165-d32bf39f9d4a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3514bb342a8402d82566e46fc663636c06b90bd52b5aeed4c9011bd82a7dde0e
- Size of remote file:
- 6.78 kB
- SHA256:
- d34be1552110ee784488b3c146a2acb78d9ace36f905a76d68196a8da9ba58a1
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