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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76b92ad7bf50f462080b555cc521b3b10a7233094710bf612be530372e6c57fa
- Size of remote file:
- 95.1 MB
- SHA256:
- dd17c1d7c8e4a6e0fa71dd782ac030d0a7873bb71b656ffe8cfe1b11d0323c47
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