Instructions to use Aly116/whisper-tiny-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aly116/whisper-tiny-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Aly116/whisper-tiny-ur")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Aly116/whisper-tiny-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("Aly116/whisper-tiny-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Aly116/whisper-tiny-ur: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/Aly116/whisper-tiny-ur/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Aly116/whisper-tiny-ur/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Aly116/whisper-tiny-ur/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 9fe9c6c5bd1f5977ae9b882ac87aae47e7a4f384a5e572714ac927fa1959295c
- Size of remote file:
- 151 MB
- SHA256:
- 21ca713d979d10e8e5d454ca2d66d10e320de4e0ca807a1bc1d290f2eb68eeca
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