Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Mongolian
wav2vec2-bert
Generated from Trainer
Instructions to use Cafet/w2v-bert-version-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cafet/w2v-bert-version-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cafet/w2v-bert-version-final")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cafet/w2v-bert-version-final") model = AutoModelForCTC.from_pretrained("Cafet/w2v-bert-version-final") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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base_model: facebook/w2v-bert-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_16_0
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- Cafet/mas_ex
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model-index:
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- name: w2v-bert-version-final
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results: []
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base_model: facebook/w2v-bert-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: w2v-bert-version-final
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results: []
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