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:
- b53a795af7172986f5e36f96a1f82609c4a23b9f81f20b11dc5148725b3f7f6a
- Size of remote file:
- 5.97 kB
- SHA256:
- e6bae610ef8f01a1c468077975be8a042c2da63cf5226dab1a21efff92f3d350
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