Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Bengali
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Rakib/whisper-tiny-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakib/whisper-tiny-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rakib/whisper-tiny-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Rakib/whisper-tiny-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("Rakib/whisper-tiny-bn") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ccf54d02260196bdcca74880522b0f83a7d3e9c2fc66a820867160ed8c830850
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size 151061672
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