Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
text-embeddings-inference
Instructions to use julep-ai/dfe-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use julep-ai/dfe-base-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("julep-ai/dfe-base-en") 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] - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from julep-ai/dfe-base-en: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/julep-ai/dfe-base-en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://julep-ai/dfe-base-en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/julep-ai/dfe-base-en/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- ed6729f8ec186c9000d84cf7f69f587fda0d449a9c5859f3c8976f2ba5070b41
- Size of remote file:
- 438 MB
- SHA256:
- 0902de760f1af733e3064489c15700f0658c2d955fcf9784b40069791cfef97a
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