Instructions to use hf-tiny-model-private/tiny-random-BigBirdForPreTraining 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-BigBirdForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f15dcda4ee3121485e0c1ab1706de76b6aff067280581151a20d9cda80ca7cc
- Size of remote file:
- 6.76 MB
- SHA256:
- ea053d1138d8e5b58b93a2b36a032493fe9279c644e831bbea8d98e47548e589
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