Instructions to use tweettemposhift/ner-ner_temporal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/ner-ner_temporal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tweettemposhift/ner-ner_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/ner-ner_temporal-roberta-base") model = AutoModelForTokenClassification.from_pretrained("tweettemposhift/ner-ner_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a663b306b30c3cfdf5825b787f9c06fe9176e5875a7a1ba3b4dfb17e007a9257
- Size of remote file:
- 4.02 kB
- SHA256:
- dfcad517222c02d3d01016b3258c28e207ba7652f09b318c668c70173ca6515f
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