Instructions to use aviol/MobileNetV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aviol/MobileNetV4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aviol/MobileNetV4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 474 Bytes
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"activation": "gelu",
"architectures": [
"TFCustomH5Model"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"initializer_range": 0.02,
"max_position_embeddings": 512,
"model_type": "tf_model",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"transformers_version": "4.10.0.dev0",
"vocab_size": 30522
} |