Instructions to use tweettemposhift/nerd-nerd_temporal-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/nerd-nerd_temporal-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/nerd-nerd_temporal-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/nerd-nerd_temporal-bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/nerd-nerd_temporal-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ab9ce2b6a3b642eed249a1eaa855882c491663a4b58203062704a0821530654
- Size of remote file:
- 540 MB
- SHA256:
- 8d60092187852578e19c5c78e2b674e10c2cabf28a6a2258ab9a2221dac26128
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