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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenDILabCommunity/HUMOR-RM-Keye-VL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors.index.json from OpenDILabCommunity/HUMOR-RM-Keye-VL: direct link, hf CLI and curl.
- Browser
- Download file 78.1 kB
-
https://huggingface.co/OpenDILabCommunity/HUMOR-RM-Keye-VL/resolve/main/model.safetensors.index.json
- Command line
-
hf download hf://OpenDILabCommunity/HUMOR-RM-Keye-VL/model.safetensors.index.json
-
curl -L -o model.safetensors.index.json https://huggingface.co/OpenDILabCommunity/HUMOR-RM-Keye-VL/resolve/main/model.safetensors.index.json
78.1 kB
- Xet hash:
- cf1a2c93f785525542bc8493c622893e4cf3e212c702874bb86bd0fe1e918898
- Size of remote file:
- 78.1 kB
- SHA256:
- 4607f680933da37725696b43563e2a9250fe66562e591c5af73256c261195abb
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