Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
bert
feature-extraction
text-embeddings-inference
Instructions to use ipipan/silver-retriever-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ipipan/silver-retriever-base-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ipipan/silver-retriever-base-v1") sentences = [ "Pytanie: W jakim mieście urodził się Zbigniew Herbert?", "Zbigniew Herbert</s>Zbigniew Bolesław Ryszard Herbert (ur. 29 października 1924 we Lwowie, zm. 28 lipca 1998 w Warszawie) – polski poeta, eseista i dramaturg.", "Zbigniew Herbert</s>Lato 1968 Herbert spędził w USA (na zaproszenie Poetry Center).", "Herbert George Wells</s>Herbert George Wells (ur. 21 września 1866 w Bromley, zm. 13 sierpnia 1946 w Londynie) – brytyjski pisarz i biolog." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use ipipan/silver-retriever-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ipipan/silver-retriever-base-v1") model = AutoModel.from_pretrained("ipipan/silver-retriever-base-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99fe4a0355ccb0a444256b0dbc82ab0a9d586d28dfc63f755ad81ded37cbb665
- Size of remote file:
- 498 MB
- SHA256:
- 60ddcc92f2fe90d67774060c9696f4554919481c549fd2fa0c49ba8e73eadba2
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