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:
- 613596d37196fbc882f5411ea847211c499bc23762f4e8e06d88eb300bd41129
- Size of remote file:
- 1.12 GB
- SHA256:
- 95a22746537c1dbf46c996c69bffaf4cfe11a4398997ae28c192a880e03ae344
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