Instructions to use YukiTashiro/medsiglip-448-ft-ja-20250909_140340 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YukiTashiro/medsiglip-448-ft-ja-20250909_140340 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="YukiTashiro/medsiglip-448-ft-ja-20250909_140340") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("YukiTashiro/medsiglip-448-ft-ja-20250909_140340") model = AutoModelForZeroShotImageClassification.from_pretrained("YukiTashiro/medsiglip-448-ft-ja-20250909_140340", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad5ff39eae9028e40f9b879d297f5c7ce396614b8a5bc450999904f1e6f7b02b
- Size of remote file:
- 5.91 kB
- SHA256:
- c07001c6cfcb843e549244d2daaf4db43c2443e9f695e45561e767aeaf9ed8eb
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