Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
Polish
bert
feature-extraction
text-embeddings-inference
Instructions to use ipipan/silver-retriever-base-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ipipan/silver-retriever-base-v1.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ipipan/silver-retriever-base-v1.1") 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-v1.1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ipipan/silver-retriever-base-v1.1") model = AutoModel.from_pretrained("ipipan/silver-retriever-base-v1.1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "../../../sellaservice/rt/model_all_filter5p_bs256_lr2e5_40k/", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 514, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "tokenizer_class": "HerbertTokenizerFast", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 50000 | |
| } | |