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:
- 96f3a373c5d9a0e4a1a0b0c582d8fddd127b3d1c91f07a6891f10f9a355277de
- Size of remote file:
- 5.97 kB
- SHA256:
- f5a01c27a26bdfb27de2f89fff3fc9e35bc8cdfb681cd50d637aab5a4e2de4ea
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