Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ptah23/whisper-small-fleurs-bn-in with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ptah23/whisper-small-fleurs-bn-in with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ptah23/whisper-small-fleurs-bn-in")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ptah23/whisper-small-fleurs-bn-in") model = AutoModelForSpeechSeq2Seq.from_pretrained("ptah23/whisper-small-fleurs-bn-in", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot