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:
- 5be2307c6f026adbdccdd4c8db49f2b29e87e1a3ac99a6ea2e3b0fe52a003d6e
- Size of remote file:
- 83.9 MB
- SHA256:
- 908be91872c28c7459a13a9fa94977e1616faa2fea55e5cbcf0dc0ff0945f3dc
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