Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
roberta
feature-extraction
text-embeddings-inference
Instructions to use sdadas/st-polish-paraphrase-from-mpnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sdadas/st-polish-paraphrase-from-mpnet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sdadas/st-polish-paraphrase-from-mpnet") 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] - Transformers
How to use sdadas/st-polish-paraphrase-from-mpnet with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sdadas/st-polish-paraphrase-from-mpnet") model = AutoModel.from_pretrained("sdadas/st-polish-paraphrase-from-mpnet", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from sdadas/st-polish-paraphrase-from-mpnet: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://sdadas/st-polish-paraphrase-from-mpnet/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/sdadas/st-polish-paraphrase-from-mpnet/resolve/main/special_tokens_map.json
280 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |