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:
- 7ed95c22e9063420882ff9011a4f96285784d2de7b94960ecd90bfde07ab71f5
- Size of remote file:
- 368 kB
- SHA256:
- a74e85757e93866fa17c53fdd4bdb97d944531e25d3cbb74333dde372ed37a11
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