Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Helmy7864/whisper-small-arab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helmy7864/whisper-small-arab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Helmy7864/whisper-small-arab")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Helmy7864/whisper-small-arab") model = AutoModelForSpeechSeq2Seq.from_pretrained("Helmy7864/whisper-small-arab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Helmy7864/whisper-small-arab: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Helmy7864/whisper-small-arab/resolve/main/training_args.bin
- Command line
-
hf download hf://Helmy7864/whisper-small-arab/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Helmy7864/whisper-small-arab/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 5248fbcc399dae3aa961f083e5cac3043a78190f0aec36bc925e59b1a2f61e50
- Size of remote file:
- 5.43 kB
- SHA256:
- aa0b3cbd03fbe8600a45d70443e2b06575158785095b73e48ac473973b717c23
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