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:
- 815a17440a29bfb37f337f073127a9c17a8c68baa83e98b07bed2cb46c6aec5b
- Size of remote file:
- 967 MB
- SHA256:
- 94f98051856778f82237deb6043ff5fefae65037caa62de7943052738b6935ce
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