Instructions to use LuGot16/spermatogenesis-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LuGot16/spermatogenesis-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LuGot16/spermatogenesis-classifier-v2") 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-v2") model = AutoModelForImageClassification.from_pretrained("LuGot16/spermatogenesis-classifier-v2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -0
- model.safetensors +1 -1
- runs/Apr25_00-59-06_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777078746.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.61.0 +2 -2
- runs/Apr25_02-23-36_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777083816.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.1408.0 +3 -0
- training_args.bin +1 -1
config.json
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"stage_names": [
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model.safetensors
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runs/Apr25_00-59-06_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777078746.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.61.0
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runs/Apr25_02-23-36_r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l/events.out.tfevents.1777083816.r-lugot16-sandbox-2a334748-goil2bp7-00d07-fmb9l.1408.0
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training_args.bin
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