Instructions to use waveletdeboshir/whisper-base-ru-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waveletdeboshir/whisper-base-ru-pruned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="waveletdeboshir/whisper-base-ru-pruned")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("waveletdeboshir/whisper-base-ru-pruned") model = AutoModelForSpeechSeq2Seq.from_pretrained("waveletdeboshir/whisper-base-ru-pruned") - Notebooks
- Google Colab
- Kaggle
| { | |
| "<|en|>": 4199, | |
| "<|nocaptions|>": 4205, | |
| "<|notimestamps|>": 4206, | |
| "<|ru|>": 4200, | |
| "<|startoflm|>": 4203, | |
| "<|startofprev|>": 4204, | |
| "<|startoftranscript|>": 4198, | |
| "<|transcribe|>": 4202, | |
| "<|translate|>": 4201 | |
| } |