Instructions to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "chauhoang/3a6301f8-134e-4091-85a5-0083de9c222f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91dc978448520b9a015f2ad12ee0d4283a49530d12592954d7894226ac5ab252
- Size of remote file:
- 43.1 MB
- SHA256:
- 7a73b14c9ce4eac6c56598549ebb6542ccf57c86643069aa54bae53cc26f0979
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