Instructions to use Dharsh1821/Mistral_model_new_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dharsh1821/Mistral_model_new_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Dharsh1821/Mistral_model_new_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c173f7fb39d59b175c15281b00843ced579544bf458e8664b7197d05fee5a66a
- Size of remote file:
- 27.3 MB
- SHA256:
- e68013ff44e8c42d2f3c5be333d573164ed58e7ac2ad570b592a98bad9755797
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