Instructions to use Respair/Whisper_Large_v2_Encoder_Block with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Respair/Whisper_Large_v2_Encoder_Block with Transformers:
# Load model directly from transformers import WhisperEncoderOnly model = WhisperEncoderOnly.from_pretrained("Respair/Whisper_Large_v2_Encoder_Block", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 585d470474bcc6c77d4def8cd5841d6c6dae1971c73fb0a4a2d51e5df7185685
- Size of remote file:
- 2.55 GB
- SHA256:
- 061a0eb8078c4be74aa470b5d37d76beb5dc135703f7621e6f5287353cf6c3db
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