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:
- 2963c80800df9d2252a75d7c8b02d02a2f58ee5d8a8dc1c74a169ab56486dca6
- Size of remote file:
- 4.16 kB
- SHA256:
- 144cf07d305753f6571a77fc6d69124c1dec588770bc85983842335d1a722cbe
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