Llama Embedder
This is a python binding for llama embedder, a purpose-built library for embeddings.
Installation
pip install llama_embedder
Usage
Local Models
This example shows how to use local model to embed texts.
from llama_embedder import Embedder
embedder = Embedder(model_path='./path/to/model.gguf')
# Embed stings
embeddings = embedder.embed_texts(["Hello World!", "My name is Ishmael."])
Hugging Face Models
This example shows how to download and use a model from Hugging Face.
from llama_embedder import Embedder
hf_repo = "ChristianAzinn/snowflake-arctic-embed-s-gguf"
gguf_file = "snowflake-arctic-embed-s-f16.GGUF"
embedder = Embedder(gguf_file, hf_repository=hf_repo)
embeddings = embedder.embed_texts(["Hello, world!", "Another sentence"])
1 maintainer
Metadata
1 maintainer
Release files for llama-embedder 0.0.8
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Release files / llama_embedder-0.0.8.tar.gz
| Download URL | llama_embedder-0.0.8.tar.gz |
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