Instructions to use afaji/summerschool-bert-irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use afaji/summerschool-bert-irony with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="afaji/summerschool-bert-irony")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("afaji/summerschool-bert-irony") model = AutoModelForSequenceClassification.from_pretrained("afaji/summerschool-bert-irony", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13f78361bb5add75c90d77fc15e9e743ee7dd8ecbced05e20e3b982cbc21bdb0
- Size of remote file:
- 5.05 kB
- SHA256:
- 96e43ee0d2f00f0aa361bb1f7794a3317a597d40c28f571a30a2fd65141a2b33
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