KaLM Embedding Multilingual Mini Instruct V1.5

782
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license:mit
by
HIT-TMG
Embedding Model
OTHER
New
782 downloads
Early-stage
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Quick Summary

KaLM-Embedding is a series of embedding models adapted from auto-regressive LLMs with superior training data.

Code Examples

Requirementstext
KeyError: 'qwen2'
Usagetext
pip install -U sentence-transformers
Usagepython
from sentence_transformers import SentenceTransformer


sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('{MODEL_NAME_OR_PATH}')   # Do NOT set trust_remote_code
model.max_seq_length = 512

embeddings = model.encode(
    sentences, 
    normalize_embeddings=True,
    batch_size=256, 
    show_progress_bar=True
    )
print(embeddings)

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