Sentence Similarity
sentence-transformers
Safetensors
Transformers
Polish
modernbert
feature-extraction
text-embeddings-inference
Instructions to use OPI-PIB/PolDense-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use OPI-PIB/PolDense-1B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OPI-PIB/PolDense-1B") sentences = [ "zapytanie: Jak dożyć 100 lat?", "Trzeba zdrowo się odżywiać i uprawiać sport.", "Trzeba pić alkohol, imprezować i jeździć szybkimi autami.", "Gdy trwała kampania politycy zapewniali, że rozprawią się z zakazem niedzielnego handlu." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use OPI-PIB/PolDense-1B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OPI-PIB/PolDense-1B") model = AutoModel.from_pretrained("OPI-PIB/PolDense-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from OPI-PIB/PolDense-1B: direct link, hf CLI and curl.
- Browser
- Download file 694 Bytes
-
https://huggingface.co/OPI-PIB/PolDense-1B/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://OPI-PIB/PolDense-1B/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/OPI-PIB/PolDense-1B/resolve/main/special_tokens_map.json
694 Bytes
| { | |
| "cls_token": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "mask_token": { | |
| "content": "[MASK]", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "sep_token": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |