Instructions to use Mitrofazotron/mistral_esnli_dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mitrofazotron/mistral_esnli_dev 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, "Mitrofazotron/mistral_esnli_dev") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d716ad648b719978b2ffa6fd166548e87b9de6065c3b796047e9b61c23402a9
- Size of remote file:
- 5.18 kB
- SHA256:
- 0fc4e569f4c49196d69243a16589c49e4c8e0316abfab2a116792c92de863cf0
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