Instructions to use vasudevgupta/tf-wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/tf-wav2vec2-base with Transformers:
# Load model directly from transformers import TFAutoModel model = TFAutoModel.from_pretrained("vasudevgupta/tf-wav2vec2-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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config.json
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{"vocab_size": 32, "dropout": 0.1, "hidden_size": 768, "num_heads": 12, "num_layers": 12, "intermediate_size": 3072, "is_gelu_approx": false, "layer_norm_eps": 1e-05, "
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{"vocab_size": 32, "dropout": 0.1, "hidden_size": 768, "num_heads": 12, "num_layers": 12, "intermediate_size": 3072, "is_gelu_approx": false, "layer_norm_eps": 1e-05, "survival_prob": 0.5, "pad_id": 0, "num_conv_pos_embeddings": 128, "num_conv_pos_embedding_groups": 16, "filter_sizes": [512, 512, 512, 512, 512, 512, 512], "kernal_sizes": [10, 3, 3, 3, 3, 2, 2], "strides": [5, 2, 2, 2, 2, 2, 2], "conv_bias": false, "apply_spec_augment": true, "mask_time_prob": 0.05, "mask_time_length": 10}
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