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:
- 49a7aebdcc18df74bfd7d9bfe8683dcc6715f23551045c24d811f75a00021ce4
- Size of remote file:
- 499 MB
- SHA256:
- dd675f68d4981b9336d11eb5187e68029abd59132f236ac32348dca4d5b62f1a
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