Instructions to use devvanshhh/mistral-gen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use devvanshhh/mistral-gen2 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, "devvanshhh/mistral-gen2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cc60ea8ddaeb5a6fb8635d10b85fd927360bc7438e01d858eac375853fd0cfb
- Size of remote file:
- 369 MB
- SHA256:
- cf903a09c3c51a525b94b9d303026042e2e35427a27ed8a049752677b462054e
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