Instructions to use ACIDE/User-VLM-3B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-3B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ACIDE/User-VLM-3B-Instruct")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/User-VLM-3B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19854e5889ebe73d3ee81b979bce0c6af37c1dfc8c4be75b2dbb32164e18a981
- Size of remote file:
- 34.6 MB
- SHA256:
- b648d11e0879b11659e6b4051f691752c0cef597a865c6fde5b318b9f68c1d05
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