Instructions to use OtraBoi/document_classifier_testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OtraBoi/document_classifier_testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OtraBoi/document_classifier_testing")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("OtraBoi/document_classifier_testing") model = AutoModelForSequenceClassification.from_pretrained("OtraBoi/document_classifier_testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84748cf65d81ebd9cfb6420b1f460f189b655ea457d610fdf5abe83045a37de9
- Size of remote file:
- 504 MB
- SHA256:
- 6f0066538355d6d1247bd87ded3a7b1e81df3d25ac81d1c97a1cfaf76492409d
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