Instructions to use bzikst/faster-whisper-large-v3-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bzikst/faster-whisper-large-v3-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bzikst/faster-whisper-large-v3-russian")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bzikst/faster-whisper-large-v3-russian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from bzikst/faster-whisper-large-v3-russian: direct link, hf CLI and curl.
- Browser
- Download file 3.09 GB
-
https://huggingface.co/bzikst/faster-whisper-large-v3-russian/resolve/main/model.bin
- Command line
-
hf download hf://bzikst/faster-whisper-large-v3-russian/model.bin
-
curl -L -o model.bin https://huggingface.co/bzikst/faster-whisper-large-v3-russian/resolve/main/model.bin
3.09 GB
- Xet hash:
- 7d0bd9ef54ddbcb0dbb48768b246831b63ff2284f33fc7246faf82f5b221740f
- Size of remote file:
- 3.09 GB
- SHA256:
- 3e8db916c498e9820303a2088bb2034a7413eb75f29b81699366a6d582d08aed
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