Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Portuguese
bert
feature-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use rufimelo/Legal-BERTimbau-sts-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rufimelo/Legal-BERTimbau-sts-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rufimelo/Legal-BERTimbau-sts-large") sentences = [ "O advogado apresentou as provas ao juíz.", "O juíz leu as provas.", "O juíz leu o recurso.", "O juíz atirou uma pedra." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use rufimelo/Legal-BERTimbau-sts-large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rufimelo/Legal-BERTimbau-sts-large") model = AutoModel.from_pretrained("rufimelo/Legal-BERTimbau-sts-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rufimelo/Legal-BERTimbau-sts-large: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/rufimelo/Legal-BERTimbau-sts-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rufimelo/Legal-BERTimbau-sts-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rufimelo/Legal-BERTimbau-sts-large/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- 519a94164a505c32110f06ca1da3a1d59d0807bcd871ba7aef38f116a59998bc
- Size of remote file:
- 1.34 GB
- SHA256:
- fc4e71bbd8fe8929085baf395504d3748cc45892c006f8fa0e4c05b6f5c36856
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