Instructions to use nrshoudi/wav2vec_arabic_mdd_experiment2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrshoudi/wav2vec_arabic_mdd_experiment2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nrshoudi/wav2vec_arabic_mdd_experiment2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nrshoudi/wav2vec_arabic_mdd_experiment2") model = AutoModelForCTC.from_pretrained("nrshoudi/wav2vec_arabic_mdd_experiment2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files- config.json +3 -3
- preprocessor_config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
config.json
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity":
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id":
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"use_weighted_layer_sum": false,
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"vocab_size":
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"xvector_output_dim": 512
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}
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2
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],
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"ctc_loss_reduction": "mean",
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"ctc_zero_infinity": false,
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"diversity_loss_weight": 0.1,
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"do_stable_layer_norm": true,
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"eos_token_id": 2,
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"num_hidden_layers": 24,
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"num_negatives": 100,
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"output_hidden_size": 1024,
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"pad_token_id": 44,
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"proj_codevector_dim": 768,
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"tdnn_dilation": [
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1,
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"torch_dtype": "float32",
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"transformers_version": "4.34.1",
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"use_weighted_layer_sum": false,
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"vocab_size": 47,
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"xvector_output_dim": 512
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}
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preprocessor_config.json
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"processor_class": "Wav2Vec2Processor",
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"return_attention_mask": true,
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"sampling_rate": 16000
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dcf5789852b1c64d927d9ec6ebc9178a88a26a542469c05e94621b17319abdb0
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size 1262095082
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4536
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f4b432b2ae28e8359251a706ea56fdb45e6edb9a6be631616f023dcad53b91e
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size 4536
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