Instructions to use hf-tiny-model-private/tiny-random-SpeechT5Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-SpeechT5Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-SpeechT5Model")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-SpeechT5Model") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-SpeechT5Model") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
5b6a336 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7fcc48f3e225f627b1641db410ceb0c8649bd2b0c982e150b03f8be3728ab560
size 238473
|