Automatic Speech Recognition
Transformers
PyTorch
JAX
Oriya
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use anuragshas/wav2vec2-large-xlsr-53-odia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragshas/wav2vec2-large-xlsr-53-odia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anuragshas/wav2vec2-large-xlsr-53-odia")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-odia") model = AutoModelForCTC.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-odia") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "/"} |