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README.md
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Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
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```python
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from transformers import
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import torch
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from datasets import load_dataset
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dataset = load_dataset("huggingface/cats-image")
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image = dataset["test"]["image"][0]
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model = ConvNextForImageClassification.from_pretrained("facebook/convnext-large-224-22k-1k")
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inputs =
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with torch.no_grad():
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logits = model(**inputs).logits
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Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes:
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```python
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from transformers import ConvNextImageProcessor, ConvNextForImageClassification
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import torch
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from datasets import load_dataset
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dataset = load_dataset("huggingface/cats-image")
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image = dataset["test"]["image"][0]
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processor = ConvNextImageProcessor.from_pretrained("facebook/convnext-large-224-22k-1k")
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model = ConvNextForImageClassification.from_pretrained("facebook/convnext-large-224-22k-1k")
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inputs = processor(image, return_tensors="pt")
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with torch.no_grad():
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logits = model(**inputs).logits
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