Image Classification
Transformers
Safetensors
English
Chinese
vision
reward-model
reinforcement-learning
multimodal
llama-factory
Instructions to use OpenDILabCommunity/HUMOR-RM-Keye-VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenDILabCommunity/HUMOR-RM-Keye-VL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OpenDILabCommunity/HUMOR-RM-Keye-VL") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenDILabCommunity/HUMOR-RM-Keye-VL", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 41989f7d37529ad3391dfe772d51d36c8255d15eb8e537a5837576c1f5c6bce5
- Size of remote file:
- 48.6 kB
- SHA256:
- 8293b6b57bc3e92041717c3f975ed54bbabfea0309f9daef6b4073927644c54e
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