Instructions to use Xrenya/pvt-tiny-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xrenya/pvt-tiny-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Xrenya/pvt-tiny-224") 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("Xrenya/pvt-tiny-224") model = AutoModelForImageClassification.from_pretrained("Xrenya/pvt-tiny-224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0063f21f73a57d4582dd9a404ac52b35e63338b47a7314f43e6793b155b1f8c3
- Size of remote file:
- 53 MB
- SHA256:
- 9eab1df185957c41cfafd575ce5b29138afecbc0244fe4195f8c8de6d556f238
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