Instructions to use segment-any-text/sat-1l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-1l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-1l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-1l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93f9abf484324e4859ad9a32004ac28a84b7d59cff7bd4b24f00fcf29da26879
- Size of remote file:
- 798 MB
- SHA256:
- bc967627e4e1ca0264da29344a7197c5726ff55ce8b5a4415dafe4a3cb55692b
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