Instructions to use aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3 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, "aleegis/d3531ad9-a1cb-4904-9994-ddb985e19ca3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 167712825f8ef2690586469c0abafdcadb8235260c2b7f021cb93d7460e69352
- Size of remote file:
- 336 MB
- SHA256:
- e8a25da8297e93942e4f4f3123fe0abe8ed413a42f9ed244bdb442015acf5868
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