Instructions to use VikrantRamesh/Mistral_CN_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VikrantRamesh/Mistral_CN_finetuned 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, "VikrantRamesh/Mistral_CN_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c07d724800bfedd036e32823101f0bf2e52ec10b6ca5fbf2297b92de0edd279f
- Size of remote file:
- 83.9 MB
- SHA256:
- 8f141671c93772fe66e47dfd6f80dfdbee7c3b10900481506fb54b40849fcf02
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