Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use saralameri/whisper-tiny-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saralameri/whisper-tiny-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="saralameri/whisper-tiny-ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("saralameri/whisper-tiny-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("saralameri/whisper-tiny-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from saralameri/whisper-tiny-ar: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/saralameri/whisper-tiny-ar/resolve/main/training_args.bin
- Command line
-
hf download hf://saralameri/whisper-tiny-ar/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/saralameri/whisper-tiny-ar/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- cd79667c34225b39ffdf9ed1151f54cf6c7e238732696a7114f5951a6916abbd
- Size of remote file:
- 5.5 kB
- SHA256:
- b414de82db428e82709698c0846819da91f4e1392705e8ed6873c7a45858840f
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