Sentence Similarity
sentence-transformers
Safetensors
Nepali (macrolanguage)
bert
feature-extraction
Generated from Trainer
dataset_size:1046
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use ritesh-07/fine_tuned_model_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ritesh-07/fine_tuned_model_02 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ritesh-07/fine_tuned_model_02") sentences = [ "राहदानीको लागि कागजात सत्यापनमा कस्तो मनोनयनपत्र चाहिन्छ?", "सिम्यान्स अभिलेख किताबको लागि निवेदन फाराम अनुसूची-२क बमोजिमको ढाँचामा आधारित हुन्छ।", "कुटनीतिक वा विशेष राहदानीको लागि कागजात सत्यापनमा सम्बन्धित पदमा नियुक्तिको मनोनयनपत्रको प्रमाणित प्रतिलिपि चाहिन्छ।", "राहदानी रद्द गर्न महानिर्देशकले स्वीकृति दिन्छ।" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
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| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
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| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
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| ] |