Instructions to use AlanRobotics/whisper-small-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/whisper-small-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AlanRobotics/whisper-small-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AlanRobotics/whisper-small-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("AlanRobotics/whisper-small-ru") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 65d74d6
Training in progress, step 9000
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
config.json
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"apply_spec_augment": false,
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"_name_or_path": "openai/whisper-small",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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pytorch_model.bin
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training_args.bin
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