https://huggingface.co/DMetaSoul/Dmeta-embedding-zh-small
embedding
313 Pulls Updated 7 months ago
Updated 7 months ago
7 months ago
24d4564ca484 · 295MB
model
archbert
·
parameters73.7M
·
quantizationF32
295MB
Readme
Note: this model requires Ollama 0.1.30 or later. It can only be used to generate embeddings.
shaw/dmeta-embedding-zh-small
is lighter than the shaw/dmeta-embedding-zh
model, with less than 300M parameters, and the inference speed is increased by 30%.
Usage
This model is an embedding model, meaning it can only be used to generate embeddings.
You should pull this model into local disk first as following:
ollama pull shaw/dmeta-embedding-zh-small
Then you can call the ollama embedding api via the following methods.
REST API
curl http://localhost:11434/api/embeddings -d '{
"model": "shaw/dmeta-embedding-zh-small",
"prompt": "天空是灰色的"
}'
Python library
ollama.embeddings(model='shaw/dmeta-embedding-zh-small', prompt='天空是灰色的')
Javascript library
ollama.embeddings({ model: 'shaw/dmeta-embedding-zh-small', prompt: '天空是灰色的' })
Java library
EmbeddingResponse embeddingResponse = embeddingClient.call(
new EmbeddingRequest(List.of("天空是灰色的", "天空是蓝色的"),
OllamaOptions.create()
.withModel("shaw/dmeta-embedding-zh-small"));