Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
mteb
feature-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use aspire/acge_text_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aspire/acge_text_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aspire/acge_text_embedding") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
你们的 License 呢 ?
#16 opened over 1 year ago
by
xtluo
safetensors_rust.SafetensorError: Error while deserializing header: HeaderTooLarge
#15 opened almost 2 years ago
by
guanguanolivia
是否使用Dense层对性能的影响如何?
#14 opened about 2 years ago
by
mingliao
SentenceTransformer加载不了本地acge_text_embedding模型怎么办
#13 opened about 2 years ago
by
Wuzihong
About pooler_type
#12 opened about 2 years ago
by
huaanrui
[AUTOMATED] Model Memory Requirements
#8 opened about 2 years ago
by
model-sizer-bot
我的推理框架已经支持acge_text_embedding 的OpenAI 接口服务,欢迎大家来体验。
1
#7 opened about 2 years ago
by
Liuyu
acge可以只在hf里使用吗?
1
#6 opened about 2 years ago
by
rangehow
关于训练代码
4
#4 opened about 2 years ago
by
PatrickStar1