Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use fazalazami/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fazalazami/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fazalazami/whisper-tiny-urdu")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fazalazami/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("fazalazami/whisper-tiny-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fazalazami/whisper-tiny-urdu: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/fazalazami/whisper-tiny-urdu/resolve/main/training_args.bin
- Command line
-
hf download hf://fazalazami/whisper-tiny-urdu/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fazalazami/whisper-tiny-urdu/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 702bc84dbebdcf635396f7a455d8670131dc7c993623d8c16be7c446ba6b42f6
- Size of remote file:
- 5.43 kB
- SHA256:
- d99525f12e388a3bb88a47a63514657c4a597b0eba56e9065783eb27ad3ee4e1
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