Instructions to use mallikrao2/asr_en_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mallikrao2/asr_en_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mallikrao2/asr_en_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mallikrao2/asr_en_model") model = AutoModelForCTC.from_pretrained("mallikrao2/asr_en_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 69eddca
End of training
Browse files
pytorch_model.bin
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runs/Jan04_05-40-52_ip-172-31-16-234/events.out.tfevents.1672810923.ip-172-31-16-234.1060562.0
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