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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_processor_type": "VisCpmChatBeeImageProcessor", | |
| "is_train": false, | |
| "randaug": false, | |
| "input_size": 224, | |
| "interpolation": "bicubic", | |
| "auto_map": { | |
| "AutoImageProcessor": "processing_viscpmchatbee.VisCpmChatBeeImageProcessor" | |
| } | |
| } | |