Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a18abd3885fbc5237abe6223cfd66f497b2be0a8485fc7b64869e0bc3b0b0fb
- Size of remote file:
- 1.12 GB
- SHA256:
- 80655ee1dd0833eaf2b1c1a25fa47403276afd8ce723a63f2f362340bd51cd65
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