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:
- 37fea3c4fcdb6fc1be0c692cd5fadf5ea7adf382181f79572b3ff94957c1c711
- Size of remote file:
- 11.4 MB
- SHA256:
- 2e216950deae1db8809a180cb70673d51865b431e131bffe2db78c1c1d1269a7
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