Instructions to use tweettemposhift/topic-topic_temporal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/topic-topic_temporal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tweettemposhift/topic-topic_temporal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/topic-topic_temporal-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("tweettemposhift/topic-topic_temporal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6487c1e8d334645e95bd7e8eb13b75de2f0e527a2dc88d74c6daa13b493fac8a
- Size of remote file:
- 4.54 kB
- SHA256:
- 7bb49c5a794a18c685a94a61f16a54ec525134b6b538154b91df30d63b00ed5c
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