Instructions to use AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it") model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
MultiPRIDE-DualEncoder-MainStage-FT-it
Verified signaturee8d4c57 -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signature99e81a8 -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signaturedd74c38 -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signaturef2be57d -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signatureaf33ce8 -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signature672d42f -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signature5bdc1bc -
MultiPRIDE-DualEncoder-MainStage-FT-it
Luca TedeschiniVerified signature34a4915 -
initial commit
Luca TedeschiniVerified signature73bcc9b