optimum-neuron-cache
/
neuronxcc-2.15.128.0+56dc5a86
/0_REGISTRY
/0.0.25.dev0
/inference
/bert
/fxmarty
/tiny-bert-sst2-distilled-subfolder
/1a663ed3d4415ecf05c6.json
{"architectures": ["BertForSequenceClassification"], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 128, "id2label": {"0": "negative", "1": "positive"}, "initializer_range": 0.02, "intermediate_size": 512, "label2id": {"negative": "0", "positive": "1"}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "neuron": {"auto_cast": null, "auto_cast_type": null, "compiler_type": "neuronx-cc", "compiler_version": "2.15.128.0+56dc5a86", "disable_fallback": false, "disable_fast_relayout": false, "dynamic_batch_size": false, "inline_weights_to_neff": true, "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "static_batch_size": 1, "static_sequence_length": 32}, "num_attention_heads": 2, "num_hidden_layers": 2, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "task": "text-classification", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522} |