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:
- ead40ef669fa0bf7db62777b07361404760165852e6989624070d1f890ace39f
- Size of remote file:
- 4.86 kB
- SHA256:
- fb93ad08f68c7faeb078d47988bbdc8b5c948ec4c3ad7912785e22c8d812d960
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