Instructions to use segment-any-text/sat-6l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use segment-any-text/sat-6l with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="segment-any-text/sat-6l")# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("segment-any-text/sat-6l", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d2b1ab8eea08174cd13edf4950be2f212f10d2076b80d76dabed5b21fe78f82
- Size of remote file:
- 940 MB
- SHA256:
- e4ba4957234c4838dc13f413865cead05c89c722b2aa9fe23d67fd200d8792ba
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