Instructions to use eduardofv/stsb-m-mt-es-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use eduardofv/stsb-m-mt-es-distilbert-base-uncased with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("eduardofv/stsb-m-mt-es-distilbert-base-uncased") sentences = [ "Esa es una persona feliz", "Ese es un perro feliz", "Esa es una persona muy feliz", "Hoy es un día soleado" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download 0_Transformer/special_tokens_map.json from eduardofv/stsb-m-mt-es-distilbert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/eduardofv/stsb-m-mt-es-distilbert-base-uncased/resolve/main/0_Transformer/special_tokens_map.json
- Command line
-
hf download hf://eduardofv/stsb-m-mt-es-distilbert-base-uncased/0_Transformer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/eduardofv/stsb-m-mt-es-distilbert-base-uncased/resolve/main/0_Transformer/special_tokens_map.json
112 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"} |