Instructions to use arvisioncode/qwen_VL_3B_funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arvisioncode/qwen_VL_3B_funsd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct") model = PeftModel.from_pretrained(base_model, "arvisioncode/qwen_VL_3B_funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb5560c40bae09a03a6995dbe380b82bda030080f564ae9069e586ad537b3f89
- Size of remote file:
- 7.39 MB
- SHA256:
- 16fce2e2e7727dbd0b183404987e9183823a0a4932f41834ac64fc2c90c8e1f0
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