Instructions to use bombshelll/swin-brain-modality-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bombshelll/swin-brain-modality-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bombshelll/swin-brain-modality-classification") 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("bombshelll/swin-brain-modality-classification") model = AutoModelForImageClassification.from_pretrained("bombshelll/swin-brain-modality-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98b401f936711ef4670ed929dd11c0c6f7d9c42c3079611683cb60044bd0b37e
- Size of remote file:
- 5.24 kB
- SHA256:
- fceafddcb2694c29cf9115e76cacd1a39644a6c4bff8f52eb6c2aefe8fc1be55
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