Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
arctic
text-embeddings-inference
Instructions to use Snowflake/e5-base-arctic-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Snowflake/e5-base-arctic-finetune with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Snowflake/e5-base-arctic-finetune") 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 biencoder_config.json from Snowflake/e5-base-arctic-finetune: direct link, hf CLI and curl.
- Browser
- Download file 30 Bytes
-
https://huggingface.co/Snowflake/e5-base-arctic-finetune/resolve/main/biencoder_config.json
- Command line
-
hf download hf://Snowflake/e5-base-arctic-finetune/biencoder_config.json
-
curl -L -o biencoder_config.json https://huggingface.co/Snowflake/e5-base-arctic-finetune/resolve/main/biencoder_config.json
30 Bytes
| { | |
| "pooling": "first_token" | |
| } |