Upload tiny models for MCTCTForCTC

config.json

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+{
+  "architectures": [
+    "MCTCTForCTC"
+  ],
+  "attention_head_dim": 128,
+  "attention_probs_dropout_prob": 0.3,
+  "bos_token_id": 0,
+  "conv_channels": null,
+  "conv_dropout": 0.3,
+  "conv_glu_dim": 1,
+  "conv_kernel": [
+    7
+  ],
+  "conv_stride": [
+    3
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "eos_token_id": 2,
+  "hidden_act": "relu",
+  "hidden_dropout_prob": 0.3,
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "input_channels": 1,
+  "input_feat_per_channel": 80,
+  "intermediate_size": 20,
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.3,
+  "max_position_embeddings": 920,
+  "model_type": "mctct",
+  "num_attention_heads": 4,
+  "num_conv_layers": 1,
+  "num_hidden_layers": 4,
+  "pad_token_id": 1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0.dev0",
+  "vocab_size": 32
+}

preprocessor_config.json

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+{
+  "feature_extractor_type": "MCTCTFeatureExtractor",
+  "feature_size": 80,
+  "frame_signal_scale": 32768.0,
+  "hop_length": 10,
+  "mel_floor": 1.0,
+  "n_fft": 512,
+  "n_freqs": 257,
+  "normalize_means": true,
+  "normalize_vars": true,
+  "num_mel_bins": 80,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "preemphasis_coeff": 0.97,
+  "return_attention_mask": false,
+  "sample_size": 400,
+  "sample_stride": 160,
+  "sampling_rate": 16000,
+  "win_function": "hamming_window",
+  "win_length": 25
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:577047b34475d8a3ac1b77db80e2110399b9290f673db3b4573b4da4e989ec84
+size 23283719