Instructions to use hf-internal-testing/tiny-random-bigbird_pegasus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-bigbird_pegasus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-bigbird_pegasus")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-bigbird_pegasus") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bigbird_pegasus") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a7d44ae3016091e6769e8acf74cf013b551949b57b5fe845e3075e9873a509
- Size of remote file:
- 711 kB
- SHA256:
- eb855b655db82911da0d69f548e19ee431aef86cdeada718280d2fc3e253dd8b
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