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:
- b61770cb0f26989820a0290dc5b896bf00578aaf2c9a3e5b85ec9931306e0376
- Size of remote file:
- 1.03 MB
- SHA256:
- c8150a1f589260085e2cf15f9bf8a71ad40f7251f819fb030feef2d759647689
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