Instructions to use tweettemposhift/topic-topic_temporal-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_temporal-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_temporal-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_temporal-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_temporal-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18637f45275d92fa58d77408cd1d1efb4abdc991765484ab051d22f11e6986f3
- Size of remote file:
- 4.54 kB
- SHA256:
- ccd1b7a66c57a4d3c9574a27245758c61f2ac1fe5250d7271086e0399215506b
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