Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Finnish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-small-fi-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-small-fi-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-small-fi-full")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-small-fi-full") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-small-fi-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a96ba742c04fb949544a39e97500daf234a0af9736f9dd1044ff8e7232c3e0a7
- Size of remote file:
- 3.52 kB
- SHA256:
- d2fd7c0c7924dfb742f677809a53f9f8e4d7bf317e58b40e2a409001f901c9fe
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