Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
dense
Generated from Trainer
dataset_size:2609
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use TextModel/Embedding-crime-indo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use TextModel/Embedding-crime-indo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("TextModel/Embedding-crime-indo") sentences = [ "query: Kalau si koruptor ternyata udah nggak punya harta lagi buat bayar uang pengganti, apa konsekuensinya?", "passage: Hukumnya adalah tindak pidana yang diancam dengan pidana penjara paling lama 4 tahun atau pidana denda paling banyak kategori IV karena menggunakan ancaman kekerasan. (Pasal 302 KUHP)", "passage: Kalau harta bendanya tidak mencukupi, terpidana bisa dipidana penjara yang lamanya tidak melebihi ancaman maksimum pidana pokoknya dan sudah ditentukan langsung di dalam putusan pengadilan.", "passage: Penyitaan dan pelelangan harta bila uang pengganti tidak dibayar." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 676 Bytes
6cbf52b | 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 | {
"backend": "tokenizers",
"boi_token": "<start_of_image>",
"bos_token": "<bos>",
"clean_up_tokenization_spaces": false,
"eoi_token": "<end_of_image>",
"eos_token": "<eos>",
"image_token": "<image_soft_token>",
"is_local": false,
"mask_token": "<mask>",
"model_max_length": 2048,
"model_specific_special_tokens": {
"boi_token": "<start_of_image>",
"eoi_token": "<end_of_image>",
"image_token": "<image_soft_token>"
},
"pad_token": "<pad>",
"padding_side": "right",
"sp_model_kwargs": null,
"spaces_between_special_tokens": false,
"tokenizer_class": "GemmaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
|