Instructions to use cragtmp/task05rd2-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-50 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/task05rd2-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 105dcfb14b8cbaeaa1e1cf10de6759717f32f6d7bfae1beefd6996e223c95778
- Size of remote file:
- 52.5 MB
- SHA256:
- 69e65b6f5ef14ddbde41c89fa8580da5fc8ce19bbe41a9981323d63e529900fb
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