Instructions to use segment-any-text/sat-3l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-3l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-3l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-3l", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e193373cd7b7f5b67b1704a7f3d50159cd129c0e1800a4e8b0e80cb75c6a6a2
- Size of remote file:
- 429 MB
- SHA256:
- c05c73891c2fb432fcc3151831483fa6d5f2259770aca9b1887924e9add1f2f9
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