Sentence Similarity
sentence-transformers
Safetensors
electra
feature-extraction
Generated from Trainer
dataset_size:5428
loss:SoftmaxLoss
Eval Results (legacy)
Instructions to use Deehan1866/finetuned-wic-electra-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Deehan1866/finetuned-wic-electra-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Deehan1866/finetuned-wic-electra-large") sentences = [ "Slip into something comfortable .", "He traveled by rail .", "My grades are slipping .", "Who 's chiseling on the side ?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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