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:
- 5aff87250628bbcd352c8d37424761d9c8707b04540e566b56bc4f62133eb55e
- Size of remote file:
- 4.73 kB
- SHA256:
- 4abbc1242f0e6b04c34abd263a79b43628c2ef7aff155960c4e9015874e5ee21
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