Instructions to use as-cle-bert/segformer-breastcancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use as-cle-bert/segformer-breastcancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="as-cle-bert/segformer-breastcancer")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("as-cle-bert/segformer-breastcancer") model = SegformerForSemanticSegmentation.from_pretrained("as-cle-bert/segformer-breastcancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files
config.json
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{
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"_name_or_path": "nvidia/segformer-b0-finetuned-ade-512-512",
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"architectures": [
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"SegformerForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout_prob": 0.1,
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"decoder_hidden_size": 256,
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"depths": [
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2,
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2,
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2,
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2
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],
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"downsampling_rates": [
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1,
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4,
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8,
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16
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],
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_sizes": [
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32,
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64,
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160,
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256
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],
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"id2label": {
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"1": "benign_breast_cancer",
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"2": "malignant_breast_cancer",
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"3": "background"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"background": 3,
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"benign_breast_cancer": 1,
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"malignant_breast_cancer": 2
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},
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"layer_norm_eps": 1e-06,
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"mlp_ratios": [
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4,
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4,
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4,
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4
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],
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"model_type": "segformer",
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"num_attention_heads": [
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1,
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2,
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5,
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8
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],
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"num_channels": 3,
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"num_encoder_blocks": 4,
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"patch_sizes": [
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7,
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3,
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3,
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3
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],
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"reshape_last_stage": true,
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"semantic_loss_ignore_index": 255,
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"sr_ratios": [
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8,
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4,
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2,
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1
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],
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"strides": [
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4,
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2,
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2,
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2
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],
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"torch_dtype": "float32",
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"transformers_version": "4.38.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cffe532f8a0fc818ed6283d24336d936778c1cd0964c13ac4d272e2c1f47a072
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size 14885804
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runs/Mar31_13-40-04_7e9eef2f2e22/events.out.tfevents.1711892422.7e9eef2f2e22.248.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e31929c5bd882c47fb9bb71fcc23ce21c10ce250336285045e3028f4f1109ff5
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size 5161
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runs/Mar31_13-43-24_7e9eef2f2e22/events.out.tfevents.1711892609.7e9eef2f2e22.248.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:44d8670aea877bc8584ab234beab83024cf24fecd812081a25b69f7194d8bb1d
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size 9733
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1019cef8385e8996b575b42c8f73f0535e5bfa9b61378ed40318e3066d0819b
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size 4856
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