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Model weights and tokenizer
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{
"architectures": [
"RemBertForMaskedLM"
],
"attention_probs_dropout_prob": 0.0,
"bos_token_id": 1,
"classifier_dropout_prob": 0.1,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"initializer_range": 0.02,
"input_embedding_size": 128,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "rembert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_embedding_size": 768,
"pad_token_id": 3,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.16.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 65536
}