Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
ar-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use UsmanAXAI/whisper-medium-ft-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UsmanAXAI/whisper-medium-ft-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UsmanAXAI/whisper-medium-ft-custom")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("UsmanAXAI/whisper-medium-ft-custom") model = AutoModelForSpeechSeq2Seq.from_pretrained("UsmanAXAI/whisper-medium-ft-custom") - Notebooks
- Google Colab
- Kaggle
FIne tune on different datasets
#1
by quickbenx - opened
Hi Usman, cant find a different way to contact you, sorry. just wondering if you do custom finetunes for others and if you are on upwork etc, looking for custom work and hope to be able to utilize your time. thank you
B
hope you were not waiting this whole time. but feel free to contact me on linked in https://www.linkedin.com/in/m-usman-mle/