Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
Instructions to use ravirajoshi/wav2vec2-large-xls-r-300m-hindi-lm-boosted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ravirajoshi/wav2vec2-large-xls-r-300m-hindi-lm-boosted with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ravirajoshi/wav2vec2-large-xls-r-300m-hindi-lm-boosted")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ravirajoshi/wav2vec2-large-xls-r-300m-hindi-lm-boosted") model = AutoModelForCTC.from_pretrained("ravirajoshi/wav2vec2-large-xls-r-300m-hindi-lm-boosted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot