Modify architecture in config.json from BertForPreTraining to BertForMaskedLM to allow inference API to estimate a pipeline type
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{ | |
"_name_or_path": "release/bert-base-ja", | |
"architectures": [ | |
"BertForMaskedLM" | |
], | |
"attention_probs_dropout_prob": 0.1, | |
"bos_token_id": 2, | |
"cls_token_id": 2, | |
"eos_token_id": 3, | |
"gradient_checkpointing": false, | |
"hidden_act": "gelu", | |
"hidden_dropout_prob": 0.1, | |
"hidden_size": 768, | |
"initializer_range": 0.02, | |
"intermediate_size": 3072, | |
"layer_norm_eps": 1e-12, | |
"mask_token_id": 4, | |
"max_position_embeddings": 512, | |
"model_type": "bert", | |
"num_attention_heads": 12, | |
"num_hidden_layers": 12, | |
"pad_token_id": 0, | |
"position_embedding_type": "absolute", | |
"sep_token_id": 3, | |
"tokenizer_class": "DebertaV2Tokenizer", | |
"transformers_version": "4.8.2", | |
"type_vocab_size": 2, | |
"unk_token_id": 1, | |
"use_cache": true, | |
"vocab_size": 32000 | |
} | |