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") - Inference
- Notebooks
- Google Colab
- Kaggle
最大token数
#24 opened almost 2 years ago
by
PatrickStar2
关于max_position_embeddings
#20 opened over 2 years ago
by
qiin
Was "text2vec-large-chinese" trained on both Simplified and Traditional Chinese?
#19 opened over 2 years ago
by
phamvantoan
是否支持英文,对英文文本的向量化和相关度搜索表现怎么样
#17 opened over 2 years ago
by
Carmenhululu
碰到一个例子的评分异常问题,只要带上“淮阴区”,匹配就不对,是啥原因?
#16 opened almost 3 years ago
by
fictionking
自己搭建的demo,提示No sentence-transformers model found with name /mnt/chatGLM/embedding/text2vec-large-chinese. Creating a new one with MEAN pooling.
11
#10 opened almost 3 years ago
by
gaos
老哥能不能出一个text2vec-large-chinese-paraphrase?
#8 opened almost 3 years ago
by
Guoqing1898
为什么加载模型过程中直接出现了显存爆炸的情况?
❤️ 2
2
#4 opened almost 3 years ago
by
neumyor
老哥这个模型练得很好,在我们的食物营养健康数据集上表现比
8
#3 opened about 3 years ago
by
CorlorfulDick
support sentence_transformers
1
#2 opened about 3 years ago
by
saintway
decode 后,中文有多余空格
1
#1 opened about 3 years ago
by
aizpy