Instructions to use Zamoranesis/delirium_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zamoranesis/delirium_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zamoranesis/delirium_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zamoranesis/delirium_roberta") model = AutoModelForMaskedLM.from_pretrained("Zamoranesis/delirium_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9352dcc82c2649c7207a54ae541367df8ae99f95ad44e0e9b6d2b9c50d0ec3bf
- Size of remote file:
- 499 MB
- SHA256:
- 55ae5907bc0cdcf3f8a17119cc958ff9c235933d758353fd7f6b67d9c57bf28f
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