Instructions to use Huseyin/whisper-medium-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huseyin/whisper-medium-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Huseyin/whisper-medium-tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Huseyin/whisper-medium-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Huseyin/whisper-medium-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Huseyin/whisper-medium-tr: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Huseyin/whisper-medium-tr/resolve/main/training_args.bin
- Command line
-
hf download hf://Huseyin/whisper-medium-tr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Huseyin/whisper-medium-tr/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- b8fb16aaa6c12d7fc0e7507b29b387826e8d0db5b48ecd773f19ec09ad736afb
- Size of remote file:
- 5.24 kB
- SHA256:
- 9c940e035a6b420dbcf26bfdd352074ee4a4adeecdfe17ef355a89437dd6124c
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