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
File size: 129 Bytes
97f738a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0d7a1a79fc18bc11b6006542f717e522f09d353c5c864dd892ed00bc1556af83
size 2031
|