Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-es") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de6ae48d2eab63afe242b094ee288529f88566880eca62cc2d988a3afb9a3241
- Size of remote file:
- 5.97 kB
- SHA256:
- 2c912a3900b53f07596d4de82c64217eaa7be48fc257266cb677b2507b28e7bc
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