Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ec82a20ccdf9e78e938e027b869c460e30e8cb9ce5913137176f26049dd7c3d
- Size of remote file:
- 5.97 kB
- SHA256:
- acb67de67b6b83246de4618464653c099bd4268fdf962435c23a8e9fb63f387d
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