Feature Extraction
Transformers
Safetensors
English
spectre
medical-imaging
ct-scan
3d
vision-transformer
self-supervised-learning
foundation-model
radiology
custom_code
Instructions to use cclaess/SPECTRE-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cclaess/SPECTRE-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cclaess/SPECTRE-Large", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cclaess/SPECTRE-Large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Initial commit
Browse files- spectre/__init__.py +0 -3
- spectre/models/__init__.py +0 -10
- spectre/utils/__init__.py +0 -22
spectre/__init__.py
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@@ -19,9 +19,6 @@ __all__ = [
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"SpectreImageFeatureExtractor",
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"MODEL_CONFIGS",
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"models",
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"data",
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"transforms",
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"ssl",
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"utils",
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"__version__",
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"__author__",
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"SpectreImageFeatureExtractor",
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"MODEL_CONFIGS",
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"models",
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"utils",
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"__version__",
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"__author__",
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spectre/models/__init__.py
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@@ -28,14 +28,4 @@ __all__ = [
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'feat_vit_small',
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'feat_vit_base',
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'feat_vit_large',
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'ResNet',
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'resnet18',
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'resnet34',
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'resnet50',
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'resnet101',
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'resnext50',
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'resnext101',
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'EoMT',
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'UPA',
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'SEoMT',
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]
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'feat_vit_small',
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'feat_vit_base',
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'feat_vit_large',
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]
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spectre/utils/__init__.py
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@@ -39,23 +39,6 @@ __all__ = [
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"to_2tuple",
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"to_3tuple",
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"to_4tuple",
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"save_state",
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"load_state",
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"extract_model_from_checkpoint_dinov2",
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"extract_model_from_checkpoint_siglip",
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"extended_collate_dino",
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"extended_collate_siglip",
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"collate_add_filenames",
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"setup",
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"get_dataloader",
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"is_enabled",
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"get_global_size",
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"get_global_rank",
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"get_local_size",
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"get_local_rank",
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"init_distributed",
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"add_lora_adapters",
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"random_block_mask",
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"deactivate_requires_grad_and_to_eval",
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"activate_requires_grad_and_to_train",
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"update_momentum",
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"Format",
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"nchwd_to",
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"nhwdc_to",
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"get_param_groups_with_decay",
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"linear_warmup_schedule",
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"cosine_schedule",
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"cosine_warmup_schedule",
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"CosineWarmupScheduler",
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]
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"to_2tuple",
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"to_3tuple",
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"to_4tuple",
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"deactivate_requires_grad_and_to_eval",
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"activate_requires_grad_and_to_train",
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"update_momentum",
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"Format",
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"nchwd_to",
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"nhwdc_to",
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]
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