Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
code-switching
Tunisian
Arabic
TA
academic
Instructions to use fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA") model = AutoModelForSpeechSeq2Seq.from_pretrained("fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA") - Notebooks
- Google Colab
- Kaggle
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Model tree for fatmabesdouri96/whisper_finetuned_on_CS_Acad_TA
Base model
openai/whisper-small