Instructions to use akashAD/convnext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akashAD/convnext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="akashAD/convnext") 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("akashAD/convnext") model = AutoModelForImageClassification.from_pretrained("akashAD/convnext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8c6b6e5f8302561a2218689d2f08a914c74d997dbfcf46c8ab74a2cec54355c
- Size of remote file:
- 111 MB
- SHA256:
- 80f9b3a05d664264e4a308287a4162cd6f814f60a78348e1a19a9f4743b9b269
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