Image Classification
Transformers
Safetensors
Flair
vit
medical-imaging
brain-tumor
mri
vision-transformer
Instructions to use Songline/BrainTumor_FlairClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Songline/BrainTumor_FlairClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Songline/BrainTumor_FlairClassifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Songline/BrainTumor_FlairClassifier") model = AutoModelForImageClassification.from_pretrained("Songline/BrainTumor_FlairClassifier", device_map="auto") - Flair
How to use Songline/BrainTumor_FlairClassifier with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("Songline/BrainTumor_FlairClassifier") - Notebooks
- Google Colab
- Kaggle
| # 第三方组件与数据来源 | |
| ## 模型主干 | |
| 本模型基于 `google/vit-base-patch16-224-in21k` 初始化 | |
| 主干模型页面标注为 Apache 2.0 | |
| - https://huggingface.co/google/vit-base-patch16-224-in21k | |
| ## 训练与评测数据 | |
| 训练和评测过程中使用过 BraTS、OpenNeuro ds004199、UCSF-PDGM、HBN-SSI、UPENN-GBM 与 OpenNeuro ds003592 | |