Sentence Similarity
sentence-transformers
Safetensors
Spanish
bert
linktransformer
tabular-classification
text-embeddings-inference
Instructions to use dell-research-harvard/lt-wikidata-comp-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dell-research-harvard/lt-wikidata-comp-es with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dell-research-harvard/lt-wikidata-comp-es") sentences = [ "Esa es una persona feliz", "Ese es un perro feliz", "Esa es una persona muy feliz", "Hoy es un día soleado" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Updated model with better training and evaluation. Test and val data included as pickle files. Older Legacy files were removed to avoid confusion.
9706466 - Xet hash:
- 2c494a96ac3f38e05e1fe157011d22a75c6767c4e9054b8d33bda36812082d0d
- Size of remote file:
- 95 kB
- SHA256:
- ab6d0a892069d1e8580c059d35d94c0024b86130e41d2b2b27b1104359f2d8f3
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