Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
Openslr Multilingual
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use LegolasTheElf/Wav2Vec2_xls_r_lm_300m_hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LegolasTheElf/Wav2Vec2_xls_r_lm_300m_hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LegolasTheElf/Wav2Vec2_xls_r_lm_300m_hi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("LegolasTheElf/Wav2Vec2_xls_r_lm_300m_hi") model = AutoModelForCTC.from_pretrained("LegolasTheElf/Wav2Vec2_xls_r_lm_300m_hi") - Notebooks
- Google Colab
- Kaggle