Sentence Similarity
sentence-transformers
Safetensors
Ancient Greek (to 1453)
Latin
Swedish
xlm-roberta
feature-extraction
bge-m3
cross-lingual
classical-philology
intertextuality
citation-detection
text-embeddings-inference
Instructions to use Ericu950/intertext-classical-swedish-window with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Ericu950/intertext-classical-swedish-window with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Ericu950/intertext-classical-swedish-window") 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
File size: 743 Bytes
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"architectures": [
"XLMRobertaModel"
],
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"dtype": "float32",
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"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
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"initializer_range": 0.02,
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"is_decoder": false,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 8194,
"model_type": "xlm-roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"tie_word_embeddings": true,
"transformers_version": "5.3.0",
"type_vocab_size": 1,
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"vocab_size": 250002
}
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