Instructions to use PushkarA07/segformer-b0-finetuned-batch2-10Dec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PushkarA07/segformer-b0-finetuned-batch2-10Dec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="PushkarA07/segformer-b0-finetuned-batch2-10Dec")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("PushkarA07/segformer-b0-finetuned-batch2-10Dec") model = SegformerForSemanticSegmentation.from_pretrained("PushkarA07/segformer-b0-finetuned-batch2-10Dec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bec403212f516a6c31ec0621b057bd522a5b8eb5f70836911818bc886a75c36
- Size of remote file:
- 5.3 kB
- SHA256:
- 2fb9632cfc4fddcc117903c3b4b0ea3bb987d5f8120fbffebaf2ca38ef5df5fa
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