Instructions to use sudo-s/exper_batch_32_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_32_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_32_e4") 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("sudo-s/exper_batch_32_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_32_e4") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1100
Browse files
pytorch_model.bin
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runs/Jun27_00-20-05_bernard/events.out.tfevents.1656282017.bernard.1177787.0
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