Instructions to use mouadenna/segformer-b0-finetuned-segments-pv_v1_normalized_p100_4batch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mouadenna/segformer-b0-finetuned-segments-pv_v1_normalized_p100_4batch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mouadenna/segformer-b0-finetuned-segments-pv_v1_normalized_p100_4batch")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("mouadenna/segformer-b0-finetuned-segments-pv_v1_normalized_p100_4batch") model = SegformerForSemanticSegmentation.from_pretrained("mouadenna/segformer-b0-finetuned-segments-pv_v1_normalized_p100_4batch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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