Sentence Similarity
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use GanymedeNil/text2vec-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanymedeNil/text2vec-large-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanymedeNil/text2vec-large-chinese") model = AutoModel.from_pretrained("GanymedeNil/text2vec-large-chinese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
老哥能不能出一个text2vec-large-chinese-paraphrase?
#8
by Guoqing1898 - opened
结合text2vec-base-chinese-paraphrase的性能 (https://huggingface.co/shibing624/text2vec-base-chinese-paraphrase),
老哥能不能出一个基于large版本的paraphrase模型,text2vec-base-chinese-paraphrase的max_seq_len只有256,不太够,希望能有个512~1024的?