Instructions to use cardiffnlp/tweet-topic-latest-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/tweet-topic-latest-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/tweet-topic-latest-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/tweet-topic-latest-multi") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/tweet-topic-latest-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df954b5f268edb8b3d2dd186557b2e05df8ae9936dda447ee84c478192007777
- Size of remote file:
- 499 MB
- SHA256:
- 230223db3f233bf2bdf2f970f974550e0f40d9a7451b8584ccefc7e5587e68fe
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