| { |
| "architectures": [ |
| "BertModel" |
| ], |
| "attention_probs_dropout_prob": 0.1, |
| "classifier_dropout": null, |
| "gradient_checkpointing": false, |
| "hidden_act": "gelu", |
| "hidden_dropout_prob": 0.1, |
| "hidden_size": 384, |
| "initializer_range": 0.02, |
| "intermediate_size": 1536, |
| "layer_norm_eps": 1e-12, |
| "max_position_embeddings": 512, |
| "model_type": "bert", |
| "num_attention_heads": 12, |
| "num_hidden_layers": 6, |
| "pad_token_id": 0, |
| "position_embedding_type": "absolute", |
| "torch_dtype": "float32", |
| "transformers_version": "4.52.4", |
| "type_vocab_size": 2, |
| "use_cache": true, |
| "vocab_size": 30522, |
| "transformers.js_config": { |
| "use_external_data_format": { |
| "model.onnx": 1, |
| "model_fp16.onnx": 1, |
| "model_quantized.onnx": 1, |
| "model_q4.onnx": 1, |
| "model_q4f16.onnx": 1 |
| } |
| } |
| } |
