Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use kurianbenoy/hfa-poly_english_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kurianbenoy/hfa-poly_english_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kurianbenoy/hfa-poly_english_small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kurianbenoy/hfa-poly_english_small") model = AutoModelForSpeechSeq2Seq.from_pretrained("kurianbenoy/hfa-poly_english_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dda502a0aaa1077440fb0f2f3e2c3283622d3de1c49b81489f99f32f76f37d8
- Size of remote file:
- 967 MB
- SHA256:
- 3dff983f48a8de7b6855f4a6274101ec2f718d7c0b862394a6de292a0d4d5742
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