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:
- 9d9267a3e9f00156472a17e9845537f5cb6da2d904b34ade02c9340d569bf981
- Size of remote file:
- 499 MB
- SHA256:
- 6eb0eac0a26f211250b25f32b51941ce02fb10786280d2965b6a65c50b61f4f9
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