Instructions to use cardiffnlp/bertweet-base-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/bertweet-base-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/bertweet-base-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/bertweet-base-irony") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/bertweet-base-irony") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c6036c973cba4a7922dace4c295357ea46b5ff56edf4d146cb8c45bddca1902
- Size of remote file:
- 540 MB
- SHA256:
- 52ddd40304c5a510ae38f73ee1b02e1830d8af75781d289e97122030888d5449
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