Instructions to use Nayan4HF/code-mistral-7b-text-to-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nayan4HF/code-mistral-7b-text-to-python 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, "Nayan4HF/code-mistral-7b-text-to-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3190eb564ac65bf7c40a235f79f8a21b42ee142cc8da621e0c4dc835eb74c874
- Size of remote file:
- 1.87 GB
- SHA256:
- 41534c662cf52019e5815e1483aa3b247209ee2da21bb0d79b7e88d2b15f5536
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