Instructions to use holylovenia/problem2-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use holylovenia/problem2-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="holylovenia/problem2-test") 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("holylovenia/problem2-test") model = AutoModelForImageClassification.from_pretrained("holylovenia/problem2-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca2d4d66a20bfbb0cf42d7c4c184c36a1508ef1f105b9f08fa4912fe77306fc8
- Size of remote file:
- 103 MB
- SHA256:
- 5a773778189e4884bd9b2b35c6e46f533077a8191f6e1290117145a7b2444b59
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