Text Generation
PEFT
Safetensors
mistral
alignment-handbook
Generated from Trainer
trl
sft
conversational
Instructions to use edpowers/data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use edpowers/data with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "edpowers/data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90665bcd018caa87d55301031dd7b04c87d33daf704516cf227a786b71541a7e
- Size of remote file:
- 4.92 kB
- SHA256:
- d510fe1a2ece5c883991ed93b422937e942717889ca85e4881169c6e8d1891c3
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