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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Typo in model name?
#2
by erincdikici - opened
Hello, and thanks for sharing this model. I would like to let you know that the "Usage" and "Evaluation" scripts on the Model card page are referencing "wav2vec2-base-960-turkish" -- either a typo or a model which does not exist on Hugging Face anymore. Could you please take a look? Thanks!