Instructions to use hf-tiny-model-private/tiny-random-UniSpeechSatModel 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-UniSpeechSatModel 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-UniSpeechSatModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatModel") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatModel")
model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-UniSpeechSatModel")Quick Links
No model card
- Downloads last month
- 14
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-UniSpeechSatModel")