Automatic Speech Recognition
Transformers
Safetensors
wav2vec2-bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Ber5h/wav2vec-bert-2.0-ulch-try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ber5h/wav2vec-bert-2.0-ulch-try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ber5h/wav2vec-bert-2.0-ulch-try")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Ber5h/wav2vec-bert-2.0-ulch-try") model = AutoModelForCTC.from_pretrained("Ber5h/wav2vec-bert-2.0-ulch-try") - Notebooks
- Google Colab
- Kaggle
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