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 pytorch_model.bin from segment-any-text/sat-3l: direct link, hf CLI and curl.
- Browser
- Download file 855 MB
-
https://huggingface.co/segment-any-text/sat-3l/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://segment-any-text/sat-3l/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/segment-any-text/sat-3l/resolve/main/pytorch_model.bin
855 MB
- Xet hash:
- e325782b4ed3861be38722e1c1ffe27ce81d1689f53f98ae09ee17e4dd0f031d
- Size of remote file:
- 855 MB
- SHA256:
- a08dee669c6ba359895c1325ea006aee4bcb0382fe76e5b42306d7bbc0e45aa4
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