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german-english-snowflake-arctic-embed-l-v2.0
ferrisS/german-english-snowflake-arctic-embed-l-v2.0
german-english-snowflake-arctic-embed-l-v2.0 is a sentence similarity model from ferrisS. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This model is a 36.5% smaller version of Snowflake/snowflake-arctic-embed-l-v2.0 for the German language, created using the mtem-pruner space.
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At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025
- SHA
- 17b1a83c
Base models
Model card
From the Hugging Face model README
🇩🇪 german-english-snowflake-arctic-embed-l-v2.0
This model is a 36.5% smaller version of Snowflake/snowflake-arctic-embed-l-v2.0 for the German language, created using the mtem-pruner space.
This pruned model should perform similarly to the original model for German language tasks with a much smaller memory footprint. However, it may not perform well for other languages present in the original multilingual model as tokens not commonly used in German were removed from the original multilingual model's vocabulary.
Usage
You can use this model with the Transformers library:
from transformers import AutoModel, AutoTokenizer
model_name = "ferrisS/german-english-snowflake-arctic-embed-l-v2.0"
model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, use_fast=True)
Or with the sentence-transformers library:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ferrisS/german-english-snowflake-arctic-embed-l-v2.0")
Credits: cc @antoinelouis
- Task
- Sentence Similarity
- Library
- sentence-transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- de
- Created
- Feb 20, 2025
- Updated
- Feb 20, 2025