Update checkpoint link
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README.md
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@@ -21,9 +21,9 @@ We release three pre-trained models:
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| Model | Zero-shot Accuracy (ImageNet-1K) | Link |
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|----|----|----|
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| UTA-B | 77.0% | [weights](https://huggingface.co/jjjjh/UTA) |
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| UTA-L-pix336 | 81.4% | [weights](https://huggingface.co/jjjjh/UTA) |
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| UTA-g-pix336 | 83.9% | [weights](https://huggingface.co/jjjjh/UTA) |
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**Getting Started:**
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@@ -39,7 +39,7 @@ We release three pre-trained models:
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```
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3. **Download the pre-trained models:**
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You can download the pre-trained models from [weights](https://huggingface.co/jjjjh/UTA).
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4. **Run inference:**
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The inference code is provided in `imagenet_zeroshot_eval.py`. You can use the following command to run ImageNet zeroshot eval:
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| Model | Zero-shot Accuracy (ImageNet-1K) | Link |
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|----|----|----|
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| UTA-B | 77.0% | [weights](https://huggingface.co/jjjjh/UTA/tree/main/checkpoints) |
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| UTA-L-pix336 | 81.4% | [weights](https://huggingface.co/jjjjh/UTA/tree/main/checkpoints) |
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| UTA-g-pix336 | 83.9% | [weights](https://huggingface.co/jjjjh/UTA/tree/main/checkpoints) |
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**Getting Started:**
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```
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3. **Download the pre-trained models:**
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You can download the pre-trained models from [weights](https://huggingface.co/jjjjh/UTA/tree/main/checkpoints).
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4. **Run inference:**
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The inference code is provided in `imagenet_zeroshot_eval.py`. You can use the following command to run ImageNet zeroshot eval:
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