Automatic Speech Recognition
Transformers
PyTorch
Divehi
wav2vec2
Generated from Trainer
hf-asr-leaderboard
model_for_talk
mozilla-foundation/common_voice_8_0
robust-speech-event
Eval Results (legacy)
Instructions to use shahukareem/xls-r-300m-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahukareem/xls-r-300m-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shahukareem/xls-r-300m-dv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("shahukareem/xls-r-300m-dv") model = AutoModelForCTC.from_pretrained("shahukareem/xls-r-300m-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle