Instructions to use jayanta/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanta/test") 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("jayanta/test") model = AutoModelForImageClassification.from_pretrained("jayanta/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files
pytorch_model.bin
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runs/Jul11_18-58-09_teesta/events.out.tfevents.1689082094.teesta.26387.2
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