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 training_args.bin from segment-any-text/sat-3l: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/segment-any-text/sat-3l/resolve/main/training_args.bin
- Command line
-
hf download hf://segment-any-text/sat-3l/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/segment-any-text/sat-3l/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- de6d8b77807b0aad53ee2d5b09ade31562b0d702b8deb3bd7ff542803f3f9187
- Size of remote file:
- 3.9 kB
- SHA256:
- a2ce5ef770e9cab603da1dd58aea812339cf1e462d9e4582732b5b682f655bde
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