Instructions to use emon1521/wav2vec2-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emon1521/wav2vec2-try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emon1521/wav2vec2-try")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("emon1521/wav2vec2-try") model = AutoModelForCTC.from_pretrained("emon1521/wav2vec2-try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10000
Browse files
pytorch_model.bin
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runs/Apr06_23-52-41_DESKTOP-5GECLH7/events.out.tfevents.1649267670.DESKTOP-5GECLH7.10680.0
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