Instructions to use hf-internal-testing/tiny-random-UdopModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UdopModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-UdopModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UdopModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-UdopModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a8d41ac6c3c5000be3e3e646c6dfb97481ef3bd421fd87d16e67a689b3db432
- Size of remote file:
- 4.97 MB
- SHA256:
- 6f636715b6bdc4053d451802cd77593a1330ef7766e7a6804d2a3502ad640eaf
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