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 flax_model.msgpack 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/flax_model.msgpack
- Command line
-
hf download hf://cahya/wav2vec2-large-xlsr-turkish/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/cahya/wav2vec2-large-xlsr-turkish/resolve/main/flax_model.msgpack
1.26 GB
- Xet hash:
- 0e1d6261d2d3b9f666cdd457aba7788dd7d621e40c5a7865c676689ba034baab
- Size of remote file:
- 1.26 GB
- SHA256:
- 240d9deab0e50beb4a4aa17b5e94c816dcff08843053a60bac1602fd5198eb58
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