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
Commit History
-
Training in progress, step 800
af513c0 -
Training in progress, step 400
fff0395
-
End of training
3c61ea8 -
Training in progress, step 4400
793521c -
Training in progress, step 4000
78dbe77 -
Training in progress, step 3600
f38649d -
Training in progress, step 3200
1896580 -
Training in progress, step 2800
d2f609a -
Training in progress, step 2400
5dbe379 -
Training in progress, step 2000
7b9d3bc -
Training in progress, step 1600
c38b098 -
Training in progress, step 1200
9fb54c7 -
Training in progress, step 800
9f4af50 -
Training in progress, step 400
cd397e8