Instructions to use PrajwalS/wav2vec2_train_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrajwalS/wav2vec2_train_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PrajwalS/wav2vec2_train_large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("PrajwalS/wav2vec2_train_large") model = AutoModelForCTC.from_pretrained("PrajwalS/wav2vec2_train_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 38000
Browse files
pytorch_model.bin
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runs/May14_22-17-45_hydcorp-esxi09/events.out.tfevents.1652547188.hydcorp-esxi09.3302818.0
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