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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b1f909ec52004be55a2369ad83e600cd4202c10f4cbf56260ddf59eb00bb2fd
- Size of remote file:
- 6.55 MB
- SHA256:
- 294e52746c4011cf20f7cae64d1885faaa7223fc90f9e7a393677fb4e8968763
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