Instructions to use hf-tiny-model-private/tiny-random-BigBirdPegasusModel 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-BigBirdPegasusModel 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-BigBirdPegasusModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d14dce70a16137a111cfa179558c347c0ab8ef6a5505d36229fa3d6fdf9d7313
- Size of remote file:
- 12.5 MB
- SHA256:
- a7edb78b39e7f7e7e3e1e53fdac801053c03f40d4380b2e1a5452e455a52c3d4
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