Instructions to use TheoMrc/b3_ache_tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheoMrc/b3_ache_tests with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("TheoMrc/b3_ache_tests") model = SegformerForSemanticSegmentation.from_pretrained("TheoMrc/b3_ache_tests", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cc1a0b1dc6dfefd977e99bd46b77d1c9640089b406da936e743d524f68c71d3
- Size of remote file:
- 189 MB
- SHA256:
- 542b15948fe829a02dbb01c056105511f8e5638d0b51aefed9128fad932f3d21
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