Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers
xlm-roberta
feature-extraction
sentence-embedding
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use yco/bilingual-embedding-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yco/bilingual-embedding-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yco/bilingual-embedding-base", trust_remote_code=True) 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] - Transformers
How to use yco/bilingual-embedding-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("yco/bilingual-embedding-base", trust_remote_code=True) model = AutoModel.from_pretrained("yco/bilingual-embedding-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1533,7 +1533,7 @@ Bilingual-embedding is the Embedding Model for bilingual language: french and en
|
|
| 1533 |
```
|
| 1534 |
SentenceTransformer(
|
| 1535 |
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BilingualModel
|
| 1536 |
-
(1): Pooling({'word_embedding_dimension':
|
| 1537 |
(2): Normalize()
|
| 1538 |
)
|
| 1539 |
```
|
|
|
|
| 1533 |
```
|
| 1534 |
SentenceTransformer(
|
| 1535 |
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BilingualModel
|
| 1536 |
+
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
|
| 1537 |
(2): Normalize()
|
| 1538 |
)
|
| 1539 |
```
|