Instructions to use hf-internal-testing/tiny-random-BigBirdModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BigBirdModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BigBirdModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de8f80ae8bfdaa160ae81a30a8b93e1446002c14886de27031f7d50523a1ef64
- Size of remote file:
- 6.55 MB
- SHA256:
- 6707cdcccd44c00bc8bc94d6649f606190c9fce58035f923d961a300b10e059c
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