Instructions to use RodrigoLimaRFL/distil-large-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RodrigoLimaRFL/distil-large-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RodrigoLimaRFL/distil-large-dev")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RodrigoLimaRFL/distil-large-dev") model = AutoModelForSpeechSeq2Seq.from_pretrained("RodrigoLimaRFL/distil-large-dev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89a974151643ffcdcd170afddc6574eb7bb7f57bb153b164c9e48c86d1e0a4af
- Size of remote file:
- 3.03 GB
- SHA256:
- 770f07cd204d09a98786c6905de0dd816ff10036a6ddd250e0367da1f8a6247b
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