Instructions to use aequa-tech/irony-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aequa-tech/irony-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aequa-tech/irony-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aequa-tech/irony-it") model = AutoModelForSequenceClassification.from_pretrained("aequa-tech/irony-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53764fccc81bdb41236c34f477c579db620d8e0b3d36680c9e9f34b934aa7466
- Size of remote file:
- 737 MB
- SHA256:
- 1dad1140f937bb9887a116d2f8039b4e75b388bf34b3b3a66b649e04e159f192
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