Instructions to use Mitradn/simplecap-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/simplecap-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/simplecap-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mitradn/simplecap-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mitradn/simplecap-whisper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf650ae1b23b3e855b06eb37c7f272b825c0b300bfd9f7400571344b74abb3a0
- Size of remote file:
- 4.86 kB
- SHA256:
- ad893a50b56db7d669806e9d29dd246ccb22906d16158774a615f08ef3ba1fdf
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