Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Turkish
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use ceyda/wav2vec2-base-760-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ceyda/wav2vec2-base-760-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ceyda/wav2vec2-base-760-turkish")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ceyda/wav2vec2-base-760-turkish") model = AutoModelForCTC.from_pretrained("ceyda/wav2vec2-base-760-turkish") - Notebooks
- Google Colab
- Kaggle
Commit History
allow flax 59cd959
Patrick von Platen commited on
fix attention flag 3dee02c
ceyda commited on
fairseq tuned_wer ab8048e
ceyda commited on
fairseq tuned 3d0bc0a
ceyda commited on
first commit 27503d5
Ceyda Cinarel commited on