Instructions to use hf-internal-testing/tiny-random-BigBirdPegasusForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdPegasusForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-BigBirdPegasusForSequenceClassification", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d733bfe3cb5d035a8db627352c4353075506ef840ffff4b9a0e39444bd35b99
- Size of remote file:
- 12.5 MB
- SHA256:
- fb2f0d389a31b49e030206d7deab5fc629a272f8e359278504438e0e1558a9a8
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