Instructions to use roseman/whisper-medium-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roseman/whisper-medium-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="roseman/whisper-medium-ckb")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("roseman/whisper-medium-ckb") model = AutoModelForSpeechSeq2Seq.from_pretrained("roseman/whisper-medium-ckb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecb8362605ae2601a4d97185151af713555ddc0fbd390577c610c3e7749005ea
- Size of remote file:
- 3.58 kB
- SHA256:
- 4e3546bc9b8fd6c88184a035878d244889e39373409d094eb30e18d04bd38023
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