Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
wav2vec2
speech
audio
Eval Results
Instructions to use facebook/wav2vec2-large-robust-ft-libri-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-robust-ft-libri-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-robust-ft-libri-960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-robust-ft-libri-960h") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-large-robust-ft-libri-960h") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "|", "tokenizer_class": "Wav2Vec2CTCTokenizer"} |