Instructions to use segment-any-text/sat-12l-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-12l-sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-12l-sm")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-12l-sm", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cbb760675899751e9f86e6b843efbba053d1dd147028bac4f2664e3e80de08a
- Size of remote file:
- 4.98 kB
- SHA256:
- 9b00b33ad9e6934c22dd9b1408f105a551b498f356ac991e4a97d8516b8b7ec4
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