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:
- bd81e39a451ca7a615dff158f85190973a6cfdcc682ffbadd4a581499de5e752
- Size of remote file:
- 4.73 kB
- SHA256:
- 7c5c31eefd34594b10363bbaeb84232fb5bc08b31afff7c610fdca03e53394e4
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