Sentence Similarity
sentence-transformers
Safetensors
German
bert
linktransformer
tabular-classification
text-embeddings-inference
Instructions to use dell-research-harvard/lt-wikidata-comp-de 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-de with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dell-research-harvard/lt-wikidata-comp-de") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] 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.
1668b31 - Xet hash:
- 9fd424a4fd12b8d7cca52f3b218db57a7d844176d02cf2d7746bd3b682da760e
- Size of remote file:
- 1.86 MB
- SHA256:
- e0af962f2e38efbc3994fdfb64fbf05edddfe0cfe03450012e6fdda2db61dcb8
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