Instructions to use Gokcee/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gokcee/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Gokcee/whisper-tiny-tr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Gokcee/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("Gokcee/whisper-tiny-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Gokcee/whisper-tiny-tr: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Gokcee/whisper-tiny-tr/resolve/main/training_args.bin
- Command line
-
hf download hf://Gokcee/whisper-tiny-tr/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gokcee/whisper-tiny-tr/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 56c40afec63c20b388955fbc80aad365fdf4681e497aa78c12ed85a73685fe22
- Size of remote file:
- 5.24 kB
- SHA256:
- ff288b301ae9cb8c92ccf0d748ef1834fafc94fa37863f856853a23d361ab380
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