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:
- 342dc5161c6b22286d00891036ae8ef8be0bd6bd47709b6c40e13b1bd97f9675
- Size of remote file:
- 499 MB
- SHA256:
- 5e1d6b4a35dc4d9070885f3f732026b296dd3738ec31242b62edba2502ffb75b
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