Instructions to use tweettemposhift/nerd-nerd_temporal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/nerd-nerd_temporal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/nerd-nerd_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/nerd-nerd_temporal-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/nerd-nerd_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc7f597af04cbe21424dea437c71d5db51cf6f5150b84f7dbf1bc84ee33d99b
- Size of remote file:
- 4.54 kB
- SHA256:
- cc592385533ed542155deadc67a403911141255429e8cebae3ec8c4428d98926
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