Instructions to use arthoho66/model_005_2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthoho66/model_005_2000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arthoho66/model_005_2000")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arthoho66/model_005_2000") model = AutoModelForSpeechSeq2Seq.from_pretrained("arthoho66/model_005_2000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15e10eb29bebbd8222d25b4a722bf192baf2c34d01166d0e5ab251979ea30f9f
- Size of remote file:
- 4.09 kB
- SHA256:
- b24a94fb38de792972acb432b6a94eb655ce9024e5dd78960f7b4ff576c6e45d
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