Instructions to use hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration 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-BigBirdPegasusForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f3b104f682eda0ae1fdbe2b2330737cfae22fa2b3a4af40da35c2ae4c2aa5db
- Size of remote file:
- 12.9 MB
- SHA256:
- bad19baf8c32f30652eb695ef41ed60f30bf0c5bdc09a6158148abd876ff235c
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