Instructions to use mirodavide/Mistral-dm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mirodavide/Mistral-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-dm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2189374674b41c64b0ed3cbcb6d45c42dd7cf286e31df6eb456d29e10d40fd74
- Size of remote file:
- 680 MB
- SHA256:
- 6d8bf1217b1cc2f1e13772a26424ed3f9c040562e6a74bfe6fde88a81cc819a7
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