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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d46edf7c6b86d1747da58033c1e69342432773e420e122b9fed1292971410f86
- Size of remote file:
- 343 kB
- SHA256:
- 3a411fca035a5adc85bdb80ae8322bba026d456a2020bf3fe1e5be3deedc9011
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.