Sentence Similarity
sentence-transformers
ONNX
Safetensors
Russian
modernbert
feature-extraction
text-embeddings-inference
Instructions to use Pood666/USER2-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Pood666/USER2-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Pood666/USER2-small") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Delete ort_config.json
Browse files- ort_config.json +0 -16
ort_config.json
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{
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"disable_gelu_fusion": true,
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"disable_shape_inference": false,
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"disable_attention_fusion": false,
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"disable_skip_layer_norm_fusion": false,
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"disable_bias_gelu_fusion": false,
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"disable_embedlayer_norm_fusion": false,
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"disable_bias_skip_layer_norm_fusion": false,
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"disable_bias_add_fusion": false,
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"disable_layer_norm_fusion": false,
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"disable_softmax_fusion": false,
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"disable_dropout_fusion": false,
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"disable_packed_kv_fusion": false,
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"use_raw_attention_mask": false,
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"optimization_level": 1
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}
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