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:
- f4333ccbe650ded7b05a5622dbefffe4223b3e1d5110fcf0413fb0ad6a892a53
- Size of remote file:
- 20.6 GB
- SHA256:
- 3fbd6d568eeaf090911d2b6377e1a187a9a2dad124ec01d79031c161b42cc8d2
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