Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
Generated from Trainer
dataset_size:9741
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Matjac5/MNLP_M2_rag_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Matjac5/MNLP_M2_rag_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Matjac5/MNLP_M2_rag_model") sentences = [ "What's one characteristic that separates a person from a stuffed dummy?", "accidental", "experience pain", "wrong place" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 14 files
Verified signaturea16981f -
Delete vocab.json
Verified signature2739063 -
Delete tokenizer_config.json
Verified signaturee2308e5 -
Delete tokenizer.json
Verified signaturee8be480 -
Delete special_tokens_map.json
Verified signature84f4289 -
Delete model.safetensors
Verified signature0907281 -
Delete sentence_bert_config.json
Verified signatured9a5f23 -
Delete modules.json
Verified signature493acf1 -
Delete config_sentence_transformers.json
Verified signature660fcff -
Delete merges.txt
Verified signature6449c60 -
Delete config.json
Verified signaturee64be7e -
Delete chat_template.jinja
Verified signaturec33549d -
Delete added_tokens.json
Verified signaturedda04ad -
Delete .gitattributes
Verified signature489d181 -
Delete README.md
Verified signaturecf70aa9 -
Delete 1_Pooling
Verified signatured5b47fc -
Update config.json
Verified signature196302b
-
Upload 14 files
Verified signature1306578 -
initial commit
Verified signature9bdb245