tiny-random-LiltModel / config.json
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{
"architectures": [
"LiltModel"
],
"attention_probs_dropout_prob": 0.1,
"channel_shrink_ratio": 4,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 24,
"initializer_range": 0.02,
"intermediate_size": 37,
"layer_norm_eps": 1e-12,
"max_2d_position_embeddings": 1024,
"max_position_embeddings": 512,
"model_type": "lilt",
"num_attention_heads": 6,
"num_hidden_layers": 2,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.25.0.dev0",
"type_vocab_size": 16,
"use_cache": true,
"vocab_size": 1024
}