Instructions to use segment-any-text/sat-3l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-3l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-3l")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-3l", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from segment-any-text/sat-3l: direct link, hf CLI and curl.
- Browser
- Download file 2.53 MB
-
https://huggingface.co/segment-any-text/sat-3l/resolve/main/trainer_state.json
- Command line
-
hf download hf://segment-any-text/sat-3l/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/segment-any-text/sat-3l/resolve/main/trainer_state.json
2.53 MB
File too large to display, you can check the raw version instead.