安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- shibing624 text2vec-base-chinese · Hugging Face
Use this model Instructions to use shibing624 text2vec-base-chinese with libraries, inference providers, notebooks, and local apps Follow these links to get started Libraries; s
- GanymedeNil text2vec-base-chinese · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science
- shibing624 text2vec-base-chinese-sentence · Hugging Face
shibing624 text2vec-base-chinese-sentence This is a CoSENT (Cosine Sentence) model: shibing624 text2vec-base-chinese-sentence It maps sentences to a 768 dimensional dense vector space and can be used for tasks like sentence embeddings, text matching or semantic search
- shibing624 (Ming Xu (徐明)) - Hugging Face
shibing624 (Ming Xu (徐明)) - Hugging Face ML, nlp
- barisaydin text2vec-base-multilingual · Hugging Face
The shibing624 text2vec-base-chinese model is trained using the CoSENT method It is trained on Chinese STS-B data based on hfl chinese-macbert-base and has achieved good results in the Chinese STS-B test set evaluation , run examples training_sup_text_matching_model py code to train the model, the model file has been uploaded to HF model hub
- exaggerated text2vec-base-chinese-rs · Hugging Face
shibing624 text2vec-base-chinese This is a CoSENT (Cosine Sentence) model: shibing624 text2vec-base-chinese It maps sentences to a 768 dimensional dense vector space and can be used for tasks like sentence embeddings, text matching or semantic search Evaluation For an automated evaluation of this model, see the Evaluation Benchmark: text2vec chinese text matching task：
- README. md · shibing624 text2vec-base-chinese at main
shibing624 text2vec-base-chinese This is a CoSENT (Cosine Sentence) model: shibing624 text2vec-base-chinese It maps sentences to a 768 dimensional dense vector space and can be used for tasks like sentence embeddings, text matching or semantic search Evaluation For an automated evaluation of this model, see the Evaluation Benchmark: text2vec chinese text matching task：
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