Instructions to use hf-tiny-model-private/tiny-random-BigBirdPegasusForSequenceClassification 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-BigBirdPegasusForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-BigBirdPegasusForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdPegasusForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ba3734e50a61091e74bcd8a60fee304f08558710f0ab3c47fd7a254f9ba8d19
- Size of remote file:
- 12.5 MB
- SHA256:
- 73bb61c15686610039377e0c07704a13e0d3adc7d5b034f28f626c06bc0b0981
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