Instructions to use GleamEyeBeast/common_voice_dataset_model_naive_char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleamEyeBeast/common_voice_dataset_model_naive_char with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GleamEyeBeast/common_voice_dataset_model_naive_char")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GleamEyeBeast/common_voice_dataset_model_naive_char") model = AutoModelForCTC.from_pretrained("GleamEyeBeast/common_voice_dataset_model_naive_char", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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End of training
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Training in progress, step 500
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add tokenizer
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initial commit
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