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.1726812126.5f17a1ad0634.36.1
- Xet hash:
- 8088e726582f302dfa5ade7e84e9932bd7deea3cb9318883b4a864f3fa77fb28
- Size of remote file:
- 411 Bytes
- SHA256:
- a8e6fdaed5af3a730d85ee9ea92853e36e2b1b412ada9c7b8533e7f9fea2dbcd
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