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 /Sep20_04-40-08_5f17a1ad0634 /events.out.tfevents.1726807250.5f17a1ad0634.36.0
- Xet hash:
- 44f0b61568d8264dad9b0bc8f4eb12df780b653fad28d118aed91775d96a5100
- Size of remote file:
- 16.3 kB
- SHA256:
- f385cb132e19f6652ed916a25a03aab5318c5b360384fae4d8153164cecb77d1
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