Instructions to use segment-any-text/sat-12l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-12l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-12l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-12l", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2db9d828701202fa7f779fc597e6f3d7ef0624afda2f98b78e1702a489c3cc59
- Size of remote file:
- 5.33 MB
- SHA256:
- ef5b4720ecd75eaff235e474225a0dba817a927cf5af5d53c71563b6cc701c25
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