Instructions to use hf-internal-testing/tiny-random-segformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-segformer with Transformers:
# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-segformer") model = SegformerForSemanticSegmentation.from_pretrained("hf-internal-testing/tiny-random-segformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db413f537dcf11021a32eba85bcf257dace800d10cf51b943d0d4eb73dd7417b
- Size of remote file:
- 1.31 MB
- SHA256:
- cd966801147eeb7a8ac9254b0e9fa2f5319abf7379476bdb1165363e7bf782c7
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