Instructions to use cragtmp/taskgt705-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-300 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/taskgt705-300") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f3533d8dcc7899408498d502e20f35b965f18b23f4b5cc3dcdf971e6c81c8e
- Size of remote file:
- 8.7 kB
- SHA256:
- 9890773bff484f57e46e06c723f6d22a5d7c8f64da9e2e6791b82994a62db9a8
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