Instructions to use codegood/Mistral_model_old_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_model_old_data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("filipealmeida/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_model_old_data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e30e4f2a669c9859d52ba631d3a639c3ac1a12cd3f7d2fa93f4dce83e7727ebe
- Size of remote file:
- 3.37 GB
- SHA256:
- df2ef28a231870bcc3b252dbfb613944bed9f208d2f59fddca8ffd28161bfb8d
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