Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Bengali
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use lohitava/whisper-tiny-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lohitava/whisper-tiny-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lohitava/whisper-tiny-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lohitava/whisper-tiny-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("lohitava/whisper-tiny-bn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df73e049ea3899ef7a112f938f3b71da5a5728589866a7f1291cad2a949de2c2
- Size of remote file:
- 5.43 kB
- SHA256:
- 2ecca140da16add584a4582d0fdf12aa593b00ab5d623a07c45b9f6ba56d06fa
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