shibing624/text2vec-base-multilingual
sentence-similarity model by shibing624
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Model card & documentation
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This is a CoSENT(Cosine Sentence) model: shibing624/text2vec-base-multilingual. It maps sentences to a 384 dimensional dense vector space and can be used for tasks like sentence embeddings, text matching or semantic search. For an automated evaluation of this model, see the Evaluation Benchmark: text2vec Available languages are: de, en, es, fr, it, nl, pl, pt, ru, zh 说明： 模型训练实验报告：实验报告 Using this model becomes easy when you have text2vec installed: Then you can use the model like this: Without text2vec, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. Install transformers: Then load model and predict: sentence-transformers is a popular library to compute dense vector representations for sentences. Install sentence-transformers: Then load model and predict: Our model is intented to be used as a sentence and short paragraph encoder. Given an…
Read the full model card ↗ · Preview checked 2026-10-03T06:44:34.919Z
Inside the original model card — Document outline
- shibing624/text2vec-base-multilingual
- Evaluation
- Languages
- Release Models
- Usage (text2vec)
- Usage (HuggingFace Transformers)
- Usage (sentence-transformers)
- Full Model Architecture
- Intended uses
- Training procedure
- Pre-training
- Fine-tuning
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
shibing624/text2vec-base-multilingual is a sentence-similarity model repository published by shibing624 on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 126,385
- Cumulative likes
- 58
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 117,654,272
- Architecture
- BertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-06-22T06:28:12.000Z
- Last modified
- 2024-07-31T09:01:11.000Z
Compatibility and lineage
Reported languages: zh, en, de, fr, it, nl, pt, pl, ru
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-03T06:40:36.316Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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