Instructions to use Gummybear05/wav2vec2-E50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gummybear05/wav2vec2-E50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gummybear05/wav2vec2-E50")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Gummybear05/wav2vec2-E50") model = AutoModelForCTC.from_pretrained("Gummybear05/wav2vec2-E50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2325
Browse files
model.safetensors
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runs/Dec19_04-08-27_b86fc313997a/events.out.tfevents.1734581632.b86fc313997a.1667.0
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