Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
dense
Generated from Trainer
dataset_size:41454
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use soof/miswag-category-mapper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use soof/miswag-category-mapper with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("soof/miswag-category-mapper") sentences = [ "Bleu Eau De Parfum Men's Perfume عطر بلو للرجال", "Niche Perfumes | عطور النيش | عطور النيش | Beauty > Fragrance > Niche Perfumes | الجمال والعناية > عطور > عطور النيش", "Men Blouses | بلوز رجالي | بلوز رجالي | Clothes, Shoes & Bags > Men Clothes > Men Blouses > Men Blouses | ملابس، أحذية وحقائب > ملابس رجالية > بلوز وتيشرت رجالي > بلوز رجالي", "Men Shoes | حذاء رجالي | حذاء رجالي | Men Fashion > Men Shoes | ملابس رجالية > حذاء رجالي", "Men Niche Perfumes | عطور رجالية | عطور رجالية | Beauty > Fragrance > Niche Perfumes > Men Niche Perfumes | الجمال والعناية > عطور > عطور النيش > عطور رجالية", "Arabian, Oud & Makhmaria | عطور عربية ومخمرية | عطور عربية ومخمرية | Beauty > Fragrance > Arabian, Oud & Makhmaria | الجمال والعناية > عطور > عطور عربية ومخمرية", "Men Fragrance | عطور رجالية | بۆنی پیاوانی | Beauty > Fragrance > Fragrance > Men Fragrance | الجمال والعناية > عطور > العطور > عطور رجالية" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [7, 7] - Notebooks
- Google Colab
- Kaggle
Copy tokenizer_config.json to model/ subdir
Browse files- model/tokenizer_config.json +21 -0
model/tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"is_local": false,
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"mask_token": "<mask>",
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"max_length": 128,
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"model_max_length": 128,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "</s>",
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"stride": 0,
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"tokenizer_class": "XLMRobertaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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