Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use basbao/whisper-tiny-arabic-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basbao/whisper-tiny-arabic-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="basbao/whisper-tiny-arabic-finetune")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("basbao/whisper-tiny-arabic-finetune") model = AutoModelForSpeechSeq2Seq.from_pretrained("basbao/whisper-tiny-arabic-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from basbao/whisper-tiny-arabic-finetune: direct link, hf CLI and curl.
- Browser
- Download file 10.2 kB
-
https://huggingface.co/basbao/whisper-tiny-arabic-finetune/resolve/main/training_args.bin
- Command line
-
hf download hf://basbao/whisper-tiny-arabic-finetune/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/basbao/whisper-tiny-arabic-finetune/resolve/main/training_args.bin
10.2 kB
- Xet hash:
- 73dcc8edc77b72edd7d07f5d51e2812df966f0c26dbfc78013345d0bb43a38ea
- Size of remote file:
- 10.2 kB
- SHA256:
- 7996c1f394791203acd73d52c60a69a8452f27412580fbaf52fad79a92137f9e
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