Instructions to use cardiffnlp/tweet-topic-19-single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/tweet-topic-19-single with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/tweet-topic-19-single")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/tweet-topic-19-single") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/tweet-topic-19-single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 165579ff7a8a2559f26f1a34e837ef89ff5b39c7c527dab4612570fb96830005
- Size of remote file:
- 499 MB
- SHA256:
- 69583ef4df0a7c06fdac86f8c2f59d1c694f9d7fb343f217198b16b391b78f17
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