Feature Extraction
Transformers
Safetensors
Italian
dual_encoder_ade
crossword
dual-encoder
contrastive-learning
information-retrieval
sentence-similarity
italian
custom_code
Eval Results (legacy)
Instructions to use cruciverb-it/crosswordspacepp-dualencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cruciverb-it/crosswordspacepp-dualencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cruciverb-it/crosswordspacepp-dualencoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cruciverb-it/crosswordspacepp-dualencoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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