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Vikhrmodels
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vikhr_encoder

Feature Extraction
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="Vikhrmodels/vikhr_encoder")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/vikhr_encoder")
model = AutoModel.from_pretrained("Vikhrmodels/vikhr_encoder", device_map="auto")
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model STS PI NLI SA TI IA IC ICX NE1 NE2
BAAI/bge-m3 0.86 0.75 0.51 0.82 0.97 0.79 0.81 0.78 0.24 0.42
intfloat/multilingual-e5-base 0.86 0.74 0.47 0.81 0.98 0.8 0.82 0.77 0.21 0.35
intfloat/multilingual-e5-large 0.86 0.73 0.47 0.81 0.98 0.8 0.82 0.77 0.24 0.37
Vikhrmodels/vikhr_encoder 0.615054424017691 0.5131 0.36 0.739 0.964525 0.724292028329517 0.7896 0.6582 0.21 0.36
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