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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0e485fb38c24c771119a1ad073d740171129fe429158439d814e601a4f5421e
- Size of remote file:
- 515 MB
- SHA256:
- f4808f48f0d857c362b51100c0edcbce78c0acd572b716faa5aea53a1f2b74ec
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