Instructions to use dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "dimasik87/f3490f67-50dd-4afa-b8b1-d4818ae92a24") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebd0255bb1288b0fe086cbe3613244ef7011337d6a5d842b613c66ea57dc8c9f
- Size of remote file:
- 252 MB
- SHA256:
- 2526ab962080b367503f714e16e30fda3620ddaafbce0ede01158610377db93e
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