Instructions to use terry69/mistral10p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use terry69/mistral10p with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "terry69/mistral10p") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37200e0ac41ee900299e407165048b5f5e0565c955b0a2e9d140521ecdf9c408
- Size of remote file:
- 5.3 kB
- SHA256:
- 648d63baf672a6f17623644c56c33c8048f3d70cb555378b7bed7d94a948d830
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