Sentence Similarity
sentence-transformers
Safetensors
Transformers
bert
feature-extraction
custom_code
text-embeddings-inference
Instructions to use sentence-transformers-testing/st-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers-testing/st-bert-base-uncased with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers-testing/st-bert-base-uncased", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use sentence-transformers-testing/st-bert-base-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers-testing/st-bert-base-uncased", trust_remote_code=True) model = AutoModel.from_pretrained("sentence-transformers-testing/st-bert-base-uncased", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sentence-transformers-testing/st-bert-base-uncased: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/sentence-transformers-testing/st-bert-base-uncased/resolve/main/model.safetensors
- Command line
-
hf download hf://sentence-transformers-testing/st-bert-base-uncased/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sentence-transformers-testing/st-bert-base-uncased/resolve/main/model.safetensors
438 MB
- Xet hash:
- 97411ecc4ad1f9a871e5c9ebee4ee1e425c7ae115488bb7b1fd7685c14022b11
- Size of remote file:
- 438 MB
- SHA256:
- 8e47716a979def3ee4331621abb95a2a07619cf6428ca798c051201cbbc0ff89
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