Instructions to use RESEARCH-EMPRM/emprm-v2-a2_support_qwen25_s0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RESEARCH-EMPRM/emprm-v2-a2_support_qwen25_s0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/NetDisk/ingyu/RESEARCH/groundedprm_shared/hf/models--Qwen--Qwen2.5-VL-7B-Instruct/snapshots/cc594898137f460bfe9f0759e9844b3ce807cfb5") model = PeftModel.from_pretrained(base_model, "RESEARCH-EMPRM/emprm-v2-a2_support_qwen25_s0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f916b5d4e8154874f86bf21e47ccd62e1c853d44f8f35b4f1cf67ddbe1da99f
- Size of remote file:
- 646 MB
- SHA256:
- 2b6b155cba56aa0a6de1bdfeef78a2a07d715c2d9d43444c7c0a203e29a1da67
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