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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-MgpstrForSceneTextRecognition") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2f03e49911bf93747f62547a20bf922ea9512db157902f05528ef87d5750587
- Size of remote file:
- 368 kB
- SHA256:
- 8e23a0c7207bd4bb8dea7af10a9271947e8a4509003da435decf92e92598a73e
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