Instructions to use hf-internal-testing/tiny-random-BigBirdPegasusForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdPegasusForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 389c3f33296566b91623c14c2412cc2067c3ffad72b90bad802fb804d3eaea71
- Size of remote file:
- 12.9 MB
- SHA256:
- 001248bb813c67e100a49f98db9a92552e39090d6c97e16eae84ef35942ab327
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