Instructions to use WebOrganizer/FormatClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WebOrganizer/FormatClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="WebOrganizer/FormatClassifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("WebOrganizer/FormatClassifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00a739b2493ba8562f0f86718c329cad804147cbfe6f148186b63c3d2f775a8e
- Size of remote file:
- 550 MB
- SHA256:
- f421f6456598f1ce2fa7bd9224dfbcc639c357532c7aa0084cf2e6a3ead9d37a
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