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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:353a817b717548ea5abfa44f3f3d1ad4d194663b07f0dc8fa9c2f6367de19bd4
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size 497798096
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