Instructions to use bihungba1101/segmenting-rl-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bihungba1101/segmenting-rl-lite with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bihungba1101/segmenting-rl-lite", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48e9029499f202ab05ab786e8bb77a6b9a58038bb04c09fecaa62926cd07ee9
- Size of remote file:
- 7.12 kB
- SHA256:
- 5650168384f9f927e9601b1a409c4630ee41139536c68a6b7635106b205302da
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