Instructions to use Joe99/visionlanguageTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joe99/visionlanguageTransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Joe99/visionlanguageTransformer")# Load model directly from transformers import AutoProcessor, ViltForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Joe99/visionlanguageTransformer") model = ViltForVisualQuestionAnswering.from_pretrained("Joe99/visionlanguageTransformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a8565b90875a004713e9ce48d12feb56f725c4c2d4b7484e3227f0ea97133b
- Size of remote file:
- 134 Bytes
- SHA256:
- 1cf3b739523bbb4deb60ddf673e40a649b5b411171090b2d8959d865a0df1fe1
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