Instructions to use arbml/whisper-large-ar-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbml/whisper-large-ar-5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arbml/whisper-large-ar-5k")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arbml/whisper-large-ar-5k") model = AutoModelForSpeechSeq2Seq.from_pretrained("arbml/whisper-large-ar-5k") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
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SFconvertbot
Librarian Bot: Add base_model information to model
#2 opened almost 3 years ago
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librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot