Instructions to use mirodavide/Mistral-neurips_dm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mirodavide/Mistral-neurips_dm with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "mirodavide/Mistral-neurips_dm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8934cbf6068d6c85f0ce381334b5bf1ac5d98cebe5459b95b97a78a76b7a437
- Size of remote file:
- 872 MB
- SHA256:
- a9f5e1876ad3b34e74c6508850f8dbe33bd5c2e10ef446ef948f72d3e14e39c4
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