Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use rukundob451/convnext-tiny-224-finetuned-papsmear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rukundob451/convnext-tiny-224-finetuned-papsmear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rukundob451/convnext-tiny-224-finetuned-papsmear") 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("rukundob451/convnext-tiny-224-finetuned-papsmear") model = AutoModelForImageClassification.from_pretrained("rukundob451/convnext-tiny-224-finetuned-papsmear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
convnext-tiny-224-finetuned-papsmear / runs /Sep19_05-53-08_47da270bdea6 /events.out.tfevents.1726725217.47da270bdea6.486.2
- Xet hash:
- f9f238f674d40cd6bafdf89dbacb325de472c43c7202c52762d7ec8a95ac6a43
- Size of remote file:
- 19.7 kB
- SHA256:
- c14cdbacf6f383f471b40cbd52f23d82774ce0d08b9cb0544e0b8ddc406daa19
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