Automatic Speech Recognition
Transformers
PyTorch
Bengali
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use amitkayal/whisper-small-or with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitkayal/whisper-small-or with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amitkayal/whisper-small-or")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amitkayal/whisper-small-or") model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkayal/whisper-small-or", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ff5254bbf4c24ee0b961bf2d89c6b065b58db204bbd86039290c26eec54fcb3
- Size of remote file:
- 3.57 kB
- SHA256:
- 97f155ec86fe813431abb0a5974422d47083b860e72ee1b0d0532f440b7fcb2a
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