Instructions to use cardiffnlp/twitter-roberta-base-dec2021-topic-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-dec2021-topic-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/twitter-roberta-base-dec2021-topic-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-dec2021-topic-multi") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/twitter-roberta-base-dec2021-topic-multi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18f0afd8ab2650a7f4b47456930d92535474757dfba53b1ea9c2ecd7ed14a259
- Size of remote file:
- 499 MB
- SHA256:
- af8adab28baff1a69d3217260b12d86da1b20204ae8f9004d38a53420a7987d3
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