Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
OpenVINO
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/bert-base-nli-cls-token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/bert-base-nli-cls-token with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/bert-base-nli-cls-token") 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/bert-base-nli-cls-token with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/bert-base-nli-cls-token") model = AutoModel.from_pretrained("sentence-transformers/bert-base-nli-cls-token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from sentence-transformers/bert-base-nli-cls-token: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/sentence-transformers/bert-base-nli-cls-token/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://sentence-transformers/bert-base-nli-cls-token/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/sentence-transformers/bert-base-nli-cls-token/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- e1004e4f892466406d38179dcb50bb88c89bb4e4d58350c90acaf04d7866c7dd
- Size of remote file:
- 438 MB
- SHA256:
- cfc56042f271ab80046728f87c96b36af8554264d73a9ae5ff50c166db86551a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.