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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("lohitava/whisper-tiny-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("lohitava/whisper-tiny-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6a4c247 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2ecca140da16add584a4582d0fdf12aa593b00ab5d623a07c45b9f6ba56d06fa
size 5432
|