Automatic Speech Recognition
Transformers
PyTorch
JAX
Czech
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use arampacha/wav2vec2-large-xlsr-czech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/wav2vec2-large-xlsr-czech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arampacha/wav2vec2-large-xlsr-czech")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("arampacha/wav2vec2-large-xlsr-czech") model = AutoModelForCTC.from_pretrained("arampacha/wav2vec2-large-xlsr-czech") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47a90dd48d571ff392369fca15033a2cfb39d32de1b8fdbc24d3e40c6635b717
- Size of remote file:
- 1.26 GB
- SHA256:
- 86dae1f7e3254b904de016c8f055a2746148e9377f76ad826c7d3e0a5f3db93c
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