Instructions to use EttoreCaputo/ACS-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/ACS-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/ACS-Mistral-v0.3-7B-q4-AbstRCT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c056508fcbc790f93c265d942ea5a53b491cd0399446af865e69dc8819c35e2d
- Size of remote file:
- 5.75 kB
- SHA256:
- c14eb4eea1a2e6cce3e4ee6e96b1c82594c37ee3de263d1f7fc5d8da89a9a75d
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