Instructions to use wisdomik/QuiltNet-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16') - Notebooks
- Google Colab
- Kaggle
Rename config.txt to config.json
Browse files- config.txt → config.json +1 -1
config.txt → config.json
RENAMED
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@@ -139,7 +139,7 @@
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": null,
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"patch_size":
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"prefix": null,
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"problem_type": null,
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"projection_dim": 512,
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| 139 |
"output_hidden_states": false,
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| 140 |
"output_scores": false,
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"pad_token_id": null,
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+
"patch_size": 16,
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"prefix": null,
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"problem_type": null,
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"projection_dim": 512,
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