Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Sinhala
whisper
seniruk
speech-to-text
sinhala
whisper-small
Instructions to use seniruk/whisper-small-si with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seniruk/whisper-small-si with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seniruk/whisper-small-si")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seniruk/whisper-small-si") model = AutoModelForSpeechSeq2Seq.from_pretrained("seniruk/whisper-small-si", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from seniruk/whisper-small-si: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/seniruk/whisper-small-si/resolve/main/training_args.bin
- Command line
-
hf download hf://seniruk/whisper-small-si/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/seniruk/whisper-small-si/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 69b7fd51e2b33da3b4e149123ea91333622507abf6088cd46d745eef977a6be8
- Size of remote file:
- 5.5 kB
- SHA256:
- 6521c21ded90da14c9f67c115417b4fc91d6ac482e0ce098ade31ae09aaed799
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