Upload neuronxcc-2.16.372.0+4a9b2326/MODULE_c38b69400c9a50249749/config.json with huggingface_hub
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neuronxcc-2.16.372.0+4a9b2326/MODULE_c38b69400c9a50249749/config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"neuron": {
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"auto_cast": null,
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"auto_cast_type": null,
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"compiler_type": "neuronx-cc",
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"compiler_version": "2.16.372.0+4a9b2326",
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"dynamic_batch_size": false,
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"inline_weights_to_neff": true,
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"input_names": [
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"input_ids",
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"attention_mask",
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"token_type_ids"
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],
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"model_type": "bert",
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"optlevel": "2",
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"output_attentions": false,
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"output_hidden_states": false,
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"output_names": [
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"logits"
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],
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"static_batch_size": 1,
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"static_sequence_length": 128,
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"tensor_parallel_size": 1
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},
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"task": "fill-mask",
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"torchscript": true,
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"transformers_version": "4.48.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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