Automatic Speech Recognition
Transformers
Safetensors
Vietnamese
wav2vec2
speech-recognition
vietnamese
central-vietnam
Generated from Trainer
Instructions to use minhtien2405/wav2vec2-base-central-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhtien2405/wav2vec2-base-central-vi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="minhtien2405/wav2vec2-base-central-vi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("minhtien2405/wav2vec2-base-central-vi") model = AutoModelForCTC.from_pretrained("minhtien2405/wav2vec2-base-central-vi") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +2 -2
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_weighted_layer_sum": false,
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"vocab_size": 110,
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"xvector_output_dim": 512
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"torch_dtype": "float32",
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"transformers_version": "4.53.0",
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"use_weighted_layer_sum": false,
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"vocab_size": 110,
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"xvector_output_dim": 512
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model.safetensors
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training_args.bin
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