Sentence Similarity
sentence-transformers
Safetensors
Portuguese
modernbert
feature-extraction
semantic-search
embeddings
portuguese
brazilian-portuguese
pt-br
b2b
fine-tuned
mteb
granite
autoresearch
Eval Results (legacy)
text-embeddings-inference
Instructions to use calneymgp/braza-embedding-ptbr-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use calneymgp/braza-embedding-ptbr-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("calneymgp/braza-embedding-ptbr-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<|startoftext|>", | |
| "eos_token": "<|return|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "max_length": 32768, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 128, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<|endoftext|>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "<|return|>", | |
| "stride": 0, | |
| "tokenizer_class": "TokenizersBackend", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first" | |
| } | |