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:
- abf4cefb84dfa0a73e5eed31699cc04f1c5c343f8f97c0d4b30194b6abb6535e
- Size of remote file:
- 419 kB
- SHA256:
- ba2797ed9082181a654abafe1b6f1f7ae29c132b2969ce9dc8ebb27270437e17
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