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:
- b9dd95d6400763ffb30c6b1f2ef98709bc0b92614ea68a433abef1100ef0204d
- Size of remote file:
- 5.97 kB
- SHA256:
- 9c92072f74663a9427f16d32e7d568fb8fa0f79676330af7ff644fd0d98c5831
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