Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
speech-encoder-decoder
librispeech_asr
Generated from Trainer
asr_seq2esq
Instructions to use patrickvonplaten/wav2vec2-2-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/wav2vec2-2-bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/wav2vec2-2-bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/wav2vec2-2-bart-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("patrickvonplaten/wav2vec2-2-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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