Feature Extraction
sentence-transformers
ONNX
multilingual
Korean
English
xlm-roberta
sentence-similarity
quantized
dense-encoder
dense
fastembed
text-embeddings-inference
Instructions to use cstr/PIXIE-Rune-v1.0-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use cstr/PIXIE-Rune-v1.0-ONNX with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cstr/PIXIE-Rune-v1.0-ONNX") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Upload config.json with huggingface_hub
Browse files- config.json +30 -0
config.json
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{
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"architectures": [
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"XLMRobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"dtype": "float32",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"matryoshka_dimensions": [
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256
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],
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"max_position_embeddings": 8194,
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"model_type": "xlm-roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.56.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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