Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Bengali
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use mkbackup/testing_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mkbackup/testing_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mkbackup/testing_model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mkbackup/testing_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("mkbackup/testing_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3234cd7855dd3bfda8989f12421541536f0a4801d388d84b380ba931da0f886
- Size of remote file:
- 4.86 kB
- SHA256:
- 67bf783848cd6bf60f4b39ab4932ea05979ce457f01bad23c44b2f1fe50d3f17
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