Instructions to use HassanSamo/mistral_7b_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HassanSamo/mistral_7b_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, "HassanSamo/mistral_7b_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ccb6e533532888808162cc09f03b7163e6bc1d1db6c1a7807c9ef9c32dd5edb
- Size of remote file:
- 369 MB
- SHA256:
- 8d429d48d4c14d390243d40097b1fb1eaa5435fbb508855ccb55e61aba244917
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