Instructions to use Mathur08/autotrain-185b3-zwt35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathur08/autotrain-185b3-zwt35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mathur08/autotrain-185b3-zwt35")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mathur08/autotrain-185b3-zwt35") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mathur08/autotrain-185b3-zwt35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8af3f031bc3328b69b0352543899c4280c1ab7e2bd8dac34bbed85e3c350745
- Size of remote file:
- 5.3 kB
- SHA256:
- 5e3f5e0c433f7ebae0b134980b3a3aa37e48dc0e7255373c1d7687eb49080876
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