Instructions to use hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38500c76c75106eabcfd9db1976fd4cdb6ec28292f9e46581b4c2289c5dfa2ca
- Size of remote file:
- 348 kB
- SHA256:
- 0d086c7b57932ff196551d06d20838078e2f716e858fe8799cdb836c4f0410bb
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