Instructions to use EttoreCaputo/ACC-Mistral-v0.3-7B-q4-AbstRCT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EttoreCaputo/ACC-Mistral-v0.3-7B-q4-AbstRCT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3-bnb-4bit") model = PeftModel.from_pretrained(base_model, "EttoreCaputo/ACC-Mistral-v0.3-7B-q4-AbstRCT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f2939af590eb4ad9dffc1f2108ce1b4c9d1a4cd21fdaa5fed364220b3dfdb13
- Size of remote file:
- 5.75 kB
- SHA256:
- 7a5d35d6373aec676564060540582abfa1942cbc2e12052bc908111d5032c6ae
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