Instructions to use jb6692/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jb6692/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="jb6692/test-model")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("jb6692/test-model") model = AutoModelForVisualQuestionAnswering.from_pretrained("jb6692/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload best_model.pth with huggingface_hub
Browse files- best_model.pth +3 -0
best_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d4af129a9bb2320dee120fcc418bfe7bf03e73da03abbccede84afa641ba612
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size 652279266
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