Instructions to use segment-any-text/sat-9l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-9l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-9l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-9l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from segment-any-text/sat-9l: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/segment-any-text/sat-9l/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://segment-any-text/sat-9l@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/segment-any-text/sat-9l/resolve/refs%2Fpr%2F1/training_args.bin
3.9 kB
- Xet hash:
- 96bac9258b1b112f1cb5c2ee0f45acc365685fac50c1283d1a395d030896d898
- Size of remote file:
- 3.9 kB
- SHA256:
- 5cf750e2dd192ed2939defbcfea00b07b24218d21752922dad952f5bd82e7301
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