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:
- 52e64601e2649e951ec2e33a771aef592e9c130f055e4e57f8e454f42aee1067
- Size of remote file:
- 5.57 kB
- SHA256:
- 1203b2c094ea6671ec8cd08407b552009cbeca370691dd0e2d10389d6f17eb9c
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