Instructions to use ksmcg/fan_tiny_12_p16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksmcg/fan_tiny_12_p16_224 with Transformers:
# Load model directly from transformers import FanForImageClassification model = FanForImageClassification.from_pretrained("ksmcg/fan_tiny_12_p16_224", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FanForImageClassification
Browse files- config.json +5 -0
- pytorch_model.bin +2 -2
config.json
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{
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"attention_probs_dropout_prob": 0.0,
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"backbone": null,
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"channel_dims": null,
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"semantic_loss_ignore_index": -100,
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"sharpen_attn": false,
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"tokens_norm": true,
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"transformers_version": "4.25.0.dev0",
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"use_pos_embed": true
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}
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{
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"_name_or_path": "ksmcg/fan_tiny_12_p16_224",
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"architectures": [
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"FanForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"backbone": null,
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"channel_dims": null,
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"semantic_loss_ignore_index": -100,
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"sharpen_attn": false,
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"tokens_norm": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.0.dev0",
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"use_pos_embed": true
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:75df8339d67fc1f700f64bda1d8daf4175d7fa21369a788a3dcb3b9916bf920e
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size 29495635
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