Instructions to use sudo-s/modeversion2_m7_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion2_m7_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion2_m7_e8") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sudo-s/modeversion2_m7_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion2_m7_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 11500
Browse files
pytorch_model.bin
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runs/Jul24_14-04-18_bernard/events.out.tfevents.1658664269.bernard.2935425.0
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