Sentence Similarity
Safetensors
sentence-transformers
German
PyLate
bert
ColBERT
text-embeddings-inference
Instructions to use samheym/GerColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use samheym/GerColBERT with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="samheym/GerColBERT") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
File size: 673 Bytes
e363b49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | {
"__version__": {
"sentence_transformers": "3.4.1",
"transformers": "4.48.2",
"pytorch": "2.6.0+cu124"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": "MaxSim",
"query_prefix": "[unused0]",
"document_prefix": "[unused1]",
"query_length": 32,
"document_length": 180,
"attend_to_expansion_tokens": false,
"skiplist_words": [
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"'",
"(",
")",
"*",
"+",
",",
"-",
".",
"/",
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";",
"<",
"=",
">",
"?",
"@",
"[",
"\\",
"]",
"^",
"_",
"`",
"{",
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"}",
"~"
]
} |