Instructions to use sinda1/Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sinda1/Mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "sinda1/Mistral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4cd7195513e396788faef529a2ada04b1adf2aee8d4f38167622203b1c33476
- Size of remote file:
- 168 MB
- SHA256:
- c53ca138c7f648b11bd50be057863edee33385b47f5abdc58feda0bd97da1365
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