Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
asr
speech-recognition
fine-tuned
bengali
audio
Instructions to use Noobbbbb/whisper-tiny-bn-custom-spm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noobbbbb/whisper-tiny-bn-custom-spm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Noobbbbb/whisper-tiny-bn-custom-spm")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Noobbbbb/whisper-tiny-bn-custom-spm") model = AutoModelForSpeechSeq2Seq.from_pretrained("Noobbbbb/whisper-tiny-bn-custom-spm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7293476018054b51c8c62a549ac5a493952c237288462ecead819fe1e49f0e63
- Size of remote file:
- 5.39 kB
- SHA256:
- 6186473581443807b67c54aa3486a54e4bea25dbdd3c17dafb1ba3b95287358c
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