Instructions to use dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "dimasik2987/b2d516ae-20fe-494f-b1b8-fe63573a4dbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f57efc4a444685396906ca5632d2e836a1e4f2bca45aa87ba5571c0c663432ca
- Size of remote file:
- 168 MB
- SHA256:
- 147019de80690379db333381100d937da8eed57a48a022e5b13ada775ff16fe4
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