Instructions to use hf-tiny-model-private/tiny-random-BigBirdModel 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-BigBirdModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-BigBirdModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86ae79027641af1008e389bd1f075d4d4eb17daf2ebbccb7bc0aa59a4b686cc3
- Size of remote file:
- 6.55 MB
- SHA256:
- 581750e6be028e967cf38d9922d65d6a6dd9acab7199cada5016f677589db562
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