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:
- b6f3a0079c716008279994f85b0b9a62008c834bc15cba7d38b40a8a83ea533e
- Size of remote file:
- 4.03 kB
- SHA256:
- db3ecbd56281e34cd7093a7e33022140ef79182affa87d1a2e43e08243960a07
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