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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b1e965c712edea4755c36207d2cc3e5b01cdecd3370b13b5583dc42f38f1bc5
- Size of remote file:
- 12.9 MB
- SHA256:
- 043ba2203d6f2c6be8230b4023d1948fea7cb8ea13f55f420ea5e69608c9469e
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