Instructions to use hf-tiny-model-private/tiny-random-MgpstrForSceneTextRecognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MgpstrForSceneTextRecognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-MgpstrForSceneTextRecognition")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MgpstrForSceneTextRecognition") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MgpstrForSceneTextRecognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af8a6619672df6e2482c2c7116531883f83d265d76eacb8ad9a951a716063ad
- Size of remote file:
- 348 kB
- SHA256:
- f8d986c15e505c710a879e5cc87eabe7447f6115e21f4cf20afd2c675d76bc98
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