Instructions to use cragtmp/q3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/q3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/q3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6225c420980dbd0a547f243d56a936abf81496d159de6767d8cd73e0afc960
- Size of remote file:
- 14.2 kB
- SHA256:
- 561841a90ca75a5ee64210d6d43b424fe3b48ac61b80f19346713e258666040a
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