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, device_map="auto")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/VisCPM-Chat", trust_remote_code=True, dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dda0762855375ca0111ee06c44098646ff691eb62a4efc060a68befc9cb3f25c
- Size of remote file:
- 20.6 GB
- SHA256:
- a42824b02c89e149ad2494c3e8c8e596bffaf9f1244706d4a0735eb75be224a2
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