Instructions to use CogComp/roberta-temporal-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CogComp/roberta-temporal-predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CogComp/roberta-temporal-predictor")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CogComp/roberta-temporal-predictor") model = AutoModelForMaskedLM.from_pretrained("CogComp/roberta-temporal-predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcae89ea57d24c5deba248a875d0dbe44c3d5afa66d453fb5a42eeccaa6efb52
- Size of remote file:
- 998 MB
- SHA256:
- 15214fdfe7f7fbffe78e3427df31d2ff96f54eaab4829342d856f3873fc1ca8d
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