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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c684d57e487310b0631f333da139a9772f3674cea837990799a1eea9adfaf3e6
- Size of remote file:
- 889 Bytes
- SHA256:
- f4b4f1361af884c8f2f3e6edadde8d2039f77fadf8b4daedc1df6af4230c36e0
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