Instructions to use TheRamsay/wav2vec2-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRamsay/wav2vec2-ctc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRamsay/wav2vec2-ctc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TheRamsay/wav2vec2-ctc") model = AutoModelForCTC.from_pretrained("TheRamsay/wav2vec2-ctc") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- config.json +4 -4
- model.safetensors +2 -2
- training_args.bin +1 -1
config.json
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"final_dropout": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_feature_length": 10,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads":
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers":
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 49,
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"final_dropout": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_feature_length": 10,
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"mask_time_prob": 0.05,
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"model_type": "wav2vec2",
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 6,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 49,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:32c5df6b29386e3581bae9e108f81b3403c666e7490422494e155844b236d9ef
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size 65000248
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:30ee42f67045bba106f47f0f6f5f062c3e5114c16ce8a08158710f7262318745
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size 5176
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