Instructions to use AIWizards/MultiPRIDE-baseline-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-baseline-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-baseline-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-baseline-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-baseline-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48c71a646b52357d16a04841833d8870afa48ece2ffe93cc7e7a11e1ed05c5a3
- Size of remote file:
- 5.97 kB
- SHA256:
- 63f596d70d03565682db6573d4aa92edb65e470eb2ce4231bedd7444253e4546
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