Instructions to use maxseats/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxseats/tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maxseats/tmp")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("maxseats/tmp") model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aab0037ceaefdab236aca7322dc3f2f631105bea388337a0183a85a5cb2da0b5
- Size of remote file:
- 967 MB
- SHA256:
- d91485e487ac95e58adb4cb874ae248536e048326eed74be111a8781ed5d6dc2
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