Automatic Speech Recognition
Transformers
PyTorch
JAX
Lithuanian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use DeividasM/wav2vec2-large-xlsr-53-lithuanian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeividasM/wav2vec2-large-xlsr-53-lithuanian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DeividasM/wav2vec2-large-xlsr-53-lithuanian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DeividasM/wav2vec2-large-xlsr-53-lithuanian") model = AutoModelForCTC.from_pretrained("DeividasM/wav2vec2-large-xlsr-53-lithuanian") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
14c7b28
1
Parent(s): 3f1d3f4
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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