Instructions to use hf-internal-testing/tiny-random-BigBirdPegasusModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdPegasusModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BigBirdPegasusModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bd9f8307b1ef037612d12b5c606aa075b630b438debfb2785370068efa388ca
- Size of remote file:
- 12.5 MB
- SHA256:
- ee5609385a897eeb327e6888c391c1e5f5d0c6077f223b47e572a4e80b653a9a
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