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:
- a24cc9e51570c12916c9134b56c47a112e7fff554e5a4b749c73401a2b5fd5ed
- Size of remote file:
- 477 Bytes
- SHA256:
- 9c3505ea31bcd68a04dd363b0867f069dc90ca1a1796cbf4c4027ee0663909ba
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