Automatic Speech Recognition
Transformers
PyTorch
JAX
Turkish
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use cahya/wav2vec2-large-xlsr-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/wav2vec2-large-xlsr-turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/wav2vec2-large-xlsr-turkish")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cahya/wav2vec2-large-xlsr-turkish") model = AutoModelForCTC.from_pretrained("cahya/wav2vec2-large-xlsr-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cahya/wav2vec2-large-xlsr-turkish: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/cahya/wav2vec2-large-xlsr-turkish/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cahya/wav2vec2-large-xlsr-turkish/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cahya/wav2vec2-large-xlsr-turkish/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 6d8a4610905c95515c6877904ee9aebcf3c279d496773592f3403b2e72a4703a
- Size of remote file:
- 1.26 GB
- SHA256:
- 3862719dc4df7f06685ee81030ce46442a8a7ab6e54dcc606385924478899924
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