Instructions to use sergioalves/87d66776-7a9b-451b-9821-40b2d438b085 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/87d66776-7a9b-451b-9821-40b2d438b085 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/87d66776-7a9b-451b-9821-40b2d438b085") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acf050c8e9aa1c972e7d4d7d86fb2219add13408fe52e3825fd453b5d999d3fc
- Size of remote file:
- 168 MB
- SHA256:
- ffa01f03ecc357dba7f86b1cd6ea44b76d364c9b053be97a147c8e5bbe5f9487
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