Instructions to use openbmb/VisCPM-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/VisCPM-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="openbmb/VisCPM-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/VisCPM-Chat", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 272 Bytes
aa60bbf | 1 2 3 4 5 6 7 8 9 10 11 | {
"image_processor_type": "VisCpmChatBeeImageProcessor",
"is_train": false,
"randaug": false,
"input_size": 224,
"interpolation": "bicubic",
"auto_map": {
"AutoImageProcessor": "processing_viscpmchatbee.VisCpmChatBeeImageProcessor"
}
}
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