Instructions to use SixAILab/nepa-base-patch14-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SixAILab/nepa-base-patch14-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="SixAILab/nepa-base-patch14-224")# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("SixAILab/nepa-base-patch14-224", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"pos_embed_jitter": null,
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"pos_embed_rescale": 2.0,
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"pos_embed_shift": null,
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"qk_norm":
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"qk_norm_affine": false,
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"qk_norm_bias": false,
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"qkv_bias": true,
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"pos_embed_jitter": null,
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"pos_embed_rescale": 2.0,
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"pos_embed_shift": null,
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"qk_norm": true,
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"qk_norm_affine": false,
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"qk_norm_bias": false,
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"qkv_bias": true,
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