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:
- dd64938210a5a36967038ec053b393f8ed7ebc36ba3e0f990be5b40c1b36aca3
- Size of remote file:
- 5.97 kB
- SHA256:
- d085c63617f93ca30f2304c5140ac3e3ce3c085ec347fc1daf7d493cf640ad37
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