Sentence Similarity
sentence-transformers
Safetensors
English
Kabyle
xlm-roberta
kabyle
taqbaylit
tamazight
berber
embeddings
cross-lingual
african-languages
nlp
text-embeddings-inference
Instructions to use boffire/kabyle-sentence-transformer-mpnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use boffire/kabyle-sentence-transformer-mpnet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("boffire/kabyle-sentence-transformer-mpnet") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 313 Bytes
7ff1915 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"add_prefix_space": true,
"backend": "tokenizers",
"bos_token": "<s>",
"cls_token": "<s>",
"eos_token": "</s>",
"is_local": true,
"mask_token": "<mask>",
"model_max_length": 128,
"pad_token": "<pad>",
"sep_token": "</s>",
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
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