Instructions to use SunWasan/whisper-tiny-fleurs-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SunWasan/whisper-tiny-fleurs-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SunWasan/whisper-tiny-fleurs-th")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SunWasan/whisper-tiny-fleurs-th") model = AutoModelForSpeechSeq2Seq.from_pretrained("SunWasan/whisper-tiny-fleurs-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SunWasan/whisper-tiny-fleurs-th: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/SunWasan/whisper-tiny-fleurs-th/resolve/main/training_args.bin
- Command line
-
hf download hf://SunWasan/whisper-tiny-fleurs-th/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SunWasan/whisper-tiny-fleurs-th/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- f8ad6993bd258fc5de93838ed01b423464135f00670673af09d0136cf80985aa
- Size of remote file:
- 5.5 kB
- SHA256:
- 8a59edad51b02476f9e6c88b45373d2cee216b07c9ac654c20363091b1cf40a4
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