Instructions to use sulcan/CHATQCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sulcan/CHATQCD with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "sulcan/CHATQCD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d289b6ecb1d488b12624f87600fc771376067c2202229dfc7405546c8408cec1
- Size of remote file:
- 43.7 MB
- SHA256:
- 9071bc8ddc101a2d663ba1e23e8075b80f9489943224597992faf1b68a5709a2
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