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wav2vec2-base-960h

Automatic Speech Recognition Transformers PyTorch

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wav2vec2-base-960h / config.json

Toshiki Tomihira

Update pytorch_model.bin and config

8ea065b about 3 years ago

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	{
	"architectures": [
	"Wav2Vec2ForCTC"
	],
	"attention_probs_dropout_prob": 0.1,
	"bos_token_id": 1,
	"conv_bias": false,
	"conv_dim": [
	512,
	512,
	512,
	512,
	512,
	512,
	512
	],
	"conv_kernel": [
	10,
	3,
	3,
	3,
	3,
	2,
	2
	],
	"conv_stride": [
	5,
	2,
	2,
	2,
	2,
	2,
	2
	],
	"do_stable_layer_norm": false,
	"eos_token_id": 2,
	"feat_extract_activation": "gelu",
	"feat_extract_dropout": 0.0,
	"feat_extract_norm": "group",
	"hidden_act": "gelu",
	"hidden_dropout_prob": 0.1,
	"hidden_size": 768,
	"initializer_range": 0.02,
	"intermediate_size": 3072,
	"layer_norm_eps": 1e-05,
	"model_type": "wav2vec2",
	"num_attention_heads": 12,
	"num_conv_pos_embedding_groups": 16,
	"num_conv_pos_embeddings": 128,
	"num_feat_extract_layers": 7,
	"num_hidden_layers": 12,
	"pad_token_id": 0,
	"transformers_version": "4.3.2",
	"vocab_size": 32
	}