Instructions to use ACIDE/User-VLM-10B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACIDE/User-VLM-10B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="ACIDE/User-VLM-10B-Instruct")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACIDE/User-VLM-10B-Instruct", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0994a7bbc2ab91d0a2c61e761eeba458fe77588922c67eaf385f6208c680bfd
- Size of remote file:
- 1.14 MB
- SHA256:
- 920255819bc0d184ba6875fcff843e7e22868566a41397f2f027a748eae6daf6
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