Instructions to use shljessie/whisperFinetuneTakeTwo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shljessie/whisperFinetuneTakeTwo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shljessie/whisperFinetuneTakeTwo")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shljessie/whisperFinetuneTakeTwo") model = AutoModelForSpeechSeq2Seq.from_pretrained("shljessie/whisperFinetuneTakeTwo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a03908603567c16e6cb516759fbd0817911bd83a755df8e2c6a2a32509d85c0
- Size of remote file:
- 5.18 kB
- SHA256:
- b71571459f5ff1719eeb2b6354f30195be510412007d1fe6cc84a2507577f37c
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