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
- Xet hash:
- 8475aad14ceb0e68173040b622a6c1b5f3a9478fe626a565b95b5426c524a65e
- Size of remote file:
- 20.6 GB
- SHA256:
- db08ff50fb8ef2818458a05a882437a016b9b6213c3377c7a097ab99c3f899a1
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