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
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