Instructions to use Cem13/mistral_instruct_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cem13/mistral_instruct_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Cem13/mistral_instruct_generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af9ce25c9938f89561a39586240e9e4dfd40b82bea6057df90b7012f00437985
- Size of remote file:
- 109 MB
- SHA256:
- 7a4aa942f48fe19334df4762e441341f93a95535c64d66af94cadbc8c0c053cc
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