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:
- 8d6baef6a9a284ac83f46669b6a01458b6ef25226afc3c51137d9dbe7883e40c
- Size of remote file:
- 2.03 kB
- SHA256:
- 0d7a1a79fc18bc11b6006542f717e522f09d353c5c864dd892ed00bc1556af83
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