Instructions to use nsi319/bigbird-roberta-base-finetuned-app with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nsi319/bigbird-roberta-base-finetuned-app with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nsi319/bigbird-roberta-base-finetuned-app")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nsi319/bigbird-roberta-base-finetuned-app") model = AutoModelForSequenceClassification.from_pretrained("nsi319/bigbird-roberta-base-finetuned-app") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed1e631c652f691c8dce330d28329b3a5c4f158b39096a7746925bee91245fa9
- Size of remote file:
- 512 MB
- SHA256:
- c665a27a841042c6269b6d86ef732aad86bf641ab638e92b3099dd8c6e8c19ed
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