Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use arbml/whisper-tiny-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbml/whisper-tiny-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arbml/whisper-tiny-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arbml/whisper-tiny-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("arbml/whisper-tiny-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from arbml/whisper-tiny-ar: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/arbml/whisper-tiny-ar/resolve/main/.gitignore
- Command line
-
hf download hf://arbml/whisper-tiny-ar/.gitignore
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curl -L -o .gitignore https://huggingface.co/arbml/whisper-tiny-ar/resolve/main/.gitignore
13 Bytes
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