Instructions to use CXDuncan/whisper-large-v2-ml-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CXDuncan/whisper-large-v2-ml-ct2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CXDuncan/whisper-large-v2-ml-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34a0ad6f5cdff63444d81da1a850b1dba7dc48ecb85aaa33be8708e50ebfcccc
- Size of remote file:
- 3.09 GB
- SHA256:
- f437c2d763f9665f50dc1ecd8efb137faad2af6a1cfea79f3ab1ce718f31d907
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