Instructions to use sergioalves/dc524394-39d6-42b0-82e0-ca7d6cc80c5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/dc524394-39d6-42b0-82e0-ca7d6cc80c5b 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/dc524394-39d6-42b0-82e0-ca7d6cc80c5b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d35c3ecc873780538e6663be4b2d400613dc73c37dc64f820df24f2fe26831c
- Size of remote file:
- 336 MB
- SHA256:
- a461063ce9b6117d2c56feaacbd2ccd1f74de1df1f0ace8db24e46386aa1bac4
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