Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:5749
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use bingcheng9/bert-base-uncased-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bingcheng9/bert-base-uncased-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bingcheng9/bert-base-uncased-sts") sentences = [ "The man talked to a girl over the internet camera.", "A group of elderly people pose around a dining table.", "A teenager talks to a girl over a webcam.", "There is no 'still' that is not relative to some other object." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download config.json from bingcheng9/bert-base-uncased-sts: direct link, hf CLI and curl.
- Browser
- Download file 658 Bytes
-
https://huggingface.co/bingcheng9/bert-base-uncased-sts/resolve/main/config.json
- Command line
-
hf download hf://bingcheng9/bert-base-uncased-sts/config.json
-
curl -L -o config.json https://huggingface.co/bingcheng9/bert-base-uncased-sts/resolve/main/config.json
658 Bytes
| { | |
| "_name_or_path": "bert-base-uncased", | |
| "architectures": [ | |
| "BertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.45.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |