Image Segmentation
Transformers
TensorBoard
Safetensors
segformer
Generated from Trainer
medical
computer-vision
breast-cancer
Instructions to use as-cle-bert/segformer-v1-breastcancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use as-cle-bert/segformer-v1-breastcancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="as-cle-bert/segformer-v1-breastcancer")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("as-cle-bert/segformer-v1-breastcancer") model = SegformerForSemanticSegmentation.from_pretrained("as-cle-bert/segformer-v1-breastcancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files- model.safetensors +1 -1
- runs/Apr01_11-52-10_e8f0f59ba778/events.out.tfevents.1711972339.e8f0f59ba778.170.1 +2 -2
- runs/Apr01_12-02-11_e8f0f59ba778/events.out.tfevents.1711972937.e8f0f59ba778.170.2 +3 -0
- runs/Apr01_12-03-26_e8f0f59ba778/events.out.tfevents.1711973012.e8f0f59ba778.170.3 +3 -0
- runs/Apr01_12-58-58_e8f0f59ba778/events.out.tfevents.1711976358.e8f0f59ba778.170.4 +3 -0
- runs/Apr01_13-01-33_e8f0f59ba778/events.out.tfevents.1711976498.e8f0f59ba778.170.5 +3 -0
- training_args.bin +1 -1
model.safetensors
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