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:
- 44b593111df5fd63bb94edbd6ce4b2fb35ea1cf1b5324e6513738109f48e5dac
- Size of remote file:
- 4.54 kB
- SHA256:
- 2bf19fbd377ee8a71c481e66bf314daf736444ebd20d366bc8c57dbf796cfdba
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