Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
speech-encoder-decoder
wav2vec2
bart
english
voxpopuli
Generated from Trainer
audio
master-thesis
Eval Results (legacy)
Instructions to use BUT-FIT/wav2vec2-base_bart-base_voxpopuli-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BUT-FIT/wav2vec2-base_bart-base_voxpopuli-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BUT-FIT/wav2vec2-base_bart-base_voxpopuli-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("BUT-FIT/wav2vec2-base_bart-base_voxpopuli-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("BUT-FIT/wav2vec2-base_bart-base_voxpopuli-en") - Notebooks
- Google Colab
- Kaggle
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