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
File size: 1,421 Bytes
8b41845 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | from ._utils import (
fix_random_seeds,
to_ntuple,
to_1tuple,
to_2tuple,
to_3tuple,
to_4tuple,
)
from .modeling import (
deactivate_requires_grad_and_to_eval,
activate_requires_grad_and_to_train,
update_momentum,
update_drop_path_rate,
repeat_token,
expand_index_like,
get_at_index,
set_at_index,
mask_at_index,
mask_bool,
patchify,
random_token_mask,
resample_abs_pos_embed,
resample_abs_pos_embed_nhwdc,
resample_patch_embed,
feature_take_indices,
global_pool_nlc,
cat_keep_shapes,
uncat_with_shapes,
last_token_pool,
Format,
nchwd_to,
nhwdc_to,
)
__all__ = [
"fix_random_seeds",
"to_ntuple",
"to_1tuple",
"to_2tuple",
"to_3tuple",
"to_4tuple",
"deactivate_requires_grad_and_to_eval",
"activate_requires_grad_and_to_train",
"update_momentum",
"update_drop_path_rate",
"repeat_token",
"expand_index_like",
"get_at_index",
"set_at_index",
"mask_at_index",
"mask_bool",
"patchify",
"random_token_mask",
"resample_abs_pos_embed",
"resample_abs_pos_embed_nhwdc",
"resample_patch_embed",
"feature_take_indices",
"global_pool_nlc",
"cat_keep_shapes",
"uncat_with_shapes",
"last_token_pool",
"Format",
"nchwd_to",
"nhwdc_to",
]
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