Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:86807
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use deedcon/bi-encoder-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use deedcon/bi-encoder-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deedcon/bi-encoder-v2") sentences = [ "[CLS] [KNOWLEDGE] NLTK [CTX] Programmierung einer pre-processing CI/CD Pipeline zur automatisierten Verarbeitung von Newsartikeln von Tamil zu Englisch, in Python unter Verwendung von NLTK und SpaCy\n [SEP]", "[CLS] [KNOWLEDGE] SPOC [CTX] Single Point of Contact (SPOC) für die Business Units (Schnittstellenfunktion zu anderen Teilprojekten und Teams)\n [SEP]", "[CLS] [KNOWLEDGE] DIN 50001 [CTX] Mitarbeit zur Einführung eines Energiemanagementsystems nach DIN 50001\n [SEP]", "[CLS] [KNOWLEDGE] Risikomanagement [CTX] - Risikomanagement\n [SEP]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |