Instructions to use segment-any-text/sat-3l-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-3l-sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-3l-sm")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-3l-sm", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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State-of-the-art sentence segmentation with 3 Transfomer layers.
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For details, see our `Segment any Text` paper
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State-of-the-art sentence segmentation with 3 Transfomer layers.
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For details, see our [`Segment any Text` paper](arxiv.org/abs/2406.16678)
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