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:
- cb36ef2c0d98cb48e2adebd1bd455cff72057ff84b5efe2128fce9528fa4db0f
- Size of remote file:
- 4.54 kB
- SHA256:
- a827813bebd384a8eb7c1433dadc61d048d40806188244a125f6f0906235643c
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