LlamaIndex Embedding Integration: ModelScope
Installation
To install the required package, run:
!pip install llama-index-embeddings-modelscope
Basic Usage
Initialize the ModelScopeLLM
To use the ModelScopeEmbedding model, create an instance by specifying the model name and revision:
from llama_index.embeddings.modelscope.base import ModelScopeEmbedding
model = ModelScopeEmbedding(
model_name="iic/nlp_gte_sentence-embedding_chinese-base",
model_revision="master",
)
Generate Embedding
To generate a text embedding for a query, use the get_query_embedding method or get_text_embedding method:
rsp = model.get_query_embedding("Hello, who are you?")
print(rsp)
rsp = model.get_text_embedding("Hello, who are you?")
print(rsp)
Generate Batch Embedding
To generate a text embedding for a batch of text, use the get_text_embedding_batch method:
rsp = model.get_text_embedding_batch(
["Hello, who are you?", "I am a student."]
)
print(rsp)
1 maintainer
Metadata
1 maintainer
Release files for llama-index-embeddings-modelscope 0.7.0
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