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:
- 1bdf0cb83ba54bb999b43b2ba6a6fd7ebfdc7360bdfc3cf06ffe9834f19b41ad
- Size of remote file:
- 293 kB
- SHA256:
- fc5f03ccadcc90be91b7c986d2449394e22f6b7a7aa4fbe1561bfcd7b13ae0b0
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