Automatic Speech Recognition
Transformers
PyTorch
Turkish
wav2vec2
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use mpoyraz/wav2vec2-xls-r-300m-cv7-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpoyraz/wav2vec2-xls-r-300m-cv7-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mpoyraz/wav2vec2-xls-r-300m-cv7-turkish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mpoyraz/wav2vec2-xls-r-300m-cv7-turkish") model = AutoModelForCTC.from_pretrained("mpoyraz/wav2vec2-xls-r-300m-cv7-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Multilingual powerhouse — testing for mobile deployment
#3 opened about 2 months ago
by
3morixd
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot