Instructions to use Jakir057/augmented18k_notcleaned_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jakir057/augmented18k_notcleaned_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jakir057/augmented18k_notcleaned_base") 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("Jakir057/augmented18k_notcleaned_base") model = AutoModelForImageClassification.from_pretrained("Jakir057/augmented18k_notcleaned_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4685560d8dd543441c5e9ff28d600c48903f47a96629cd1b0e4af64361ce678
- Size of remote file:
- 343 MB
- SHA256:
- 0799db032318882d27d0a7107d011468814de9768bfd7ab2965edac25c8d1305
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