Instructions to use cragtmp/2gt5-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/2gt5-50 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/2gt5-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24f6a877c05a23bf8ea27b3e1573d4975066d1b578b2520b294cea25f0ff4086
- Size of remote file:
- 1.06 kB
- SHA256:
- 92ea7fac4dc98dbce426178f553ee363a96b5ddd4d73f3d1f4d75d2b33dd25da
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