Instructions to use segment-any-text/sat-9l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-9l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-9l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-9l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fef09801729a5556b48af535fefd48d0f0cd60ed196e4497c42fb3137f3b29b
- Size of remote file:
- 1.03 GB
- SHA256:
- 59605f7786b9b2627f8ad0d86d662ae4cd70afc76a7b371c421482248ebe526e
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