Automatic Speech Recognition
Transformers
Safetensors
PyTorch
Azerbaijani
whisper
speech
audio
azerbaijani
Eval Results (legacy)
Instructions to use valiyevfagan/whisper-small-az with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valiyevfagan/whisper-small-az with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="valiyevfagan/whisper-small-az")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("valiyevfagan/whisper-small-az") model = AutoModelForSpeechSeq2Seq.from_pretrained("valiyevfagan/whisper-small-az", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from valiyevfagan/whisper-small-az: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/valiyevfagan/whisper-small-az/resolve/main/training_args.bin
- Command line
-
hf download hf://valiyevfagan/whisper-small-az/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/valiyevfagan/whisper-small-az/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 787a65a99bd912efc55ef7479ec101a003e6ed5ae810a8c8ede27be4f340a513
- Size of remote file:
- 5.78 kB
- SHA256:
- 03ea0a1e2958aef5e1294d444f863cc22ab81c712fd19d84f410c123ee1a2d94
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