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")# pip install -U transformers accelerate # 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
Download training_args.bin from aequa-tech/irony-it: direct link, hf CLI and curl.
- Browser
- Download file 4.34 kB
-
https://huggingface.co/aequa-tech/irony-it/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://aequa-tech/irony-it@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aequa-tech/irony-it/resolve/refs%2Fpr%2F1/training_args.bin
4.34 kB
- Xet hash:
- 1cf69a3b37ef424ca4b03018f568f999a643902c189a4aa6fce467b5bcca3531
- Size of remote file:
- 4.34 kB
- SHA256:
- ca7f97a46664ee73521d43d504c0c1bcc12ac14f848a407eace8b5ba5f98cb19
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