Image Classification
Transformers
TensorBoard
Safetensors
dinov2
Generated from Trainer
Eval Results (legacy)
Instructions to use LuGot16/spermatogenesis-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LuGot16/spermatogenesis-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LuGot16/spermatogenesis-classifier") 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("LuGot16/spermatogenesis-classifier") model = AutoModelForImageClassification.from_pretrained("LuGot16/spermatogenesis-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12e9c06c3d0e29198c759a45bf1e12afeb39653940fa0c8d48bbb307d6592b17
- Size of remote file:
- 5.91 kB
- SHA256:
- eac4de32838f02787c991dce069e7b299f4861e39990d5e0e700b4d329ecbde2
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