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:
- c4cb2edd07e299c9b49f4c4f025910f220f52144441a7605577fe2b9e0463030
- Size of remote file:
- 5.37 kB
- SHA256:
- 5b6d3b57ee6a3af6581236b7eb2027d85a10a72732e1d566ad1f33f66f1d6c98
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