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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5ef3538c3469f99618737dd1d41283f5af6462cee0d36fc51557e0ad1391fb8
- Size of remote file:
- 428 MB
- SHA256:
- 8573277b4dbea9c5fb1b4cfd8c21e5aa628069ac8258d1342ba664e1b64ada6d
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