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:
- ad0b062d388f2ff2e43baf911fa398c3635f83540b59e06a5dd160121867b00d
- Size of remote file:
- 5.3 kB
- SHA256:
- a8626f6408126ed557e193d44e3ba6f45d94089f8042900c4d72638f051ea39d
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