Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
Generated from Trainer
dataset_size:10573
loss:MultipleNegativesRankingLoss
Instructions to use IvanSem/avito_bge_m3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use IvanSem/avito_bge_m3_lora with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("IvanSem/avito_bge_m3_lora") 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: 408 Bytes
88d5cd0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
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"is_local": false,
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"mask_token": "<mask>",
"model_max_length": 512,
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