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Author:
Keval Dekivadiya
License:
Apache License 2.0
Summary:
TextEmbed provides a robust and scalable REST API for generating vector embeddings from text. Built for performance and flexibility, it supports various sentence-transformer models, allowing users to easily integrate state-of-the-art NLP techniques into their applications. Whether you need embeddings for search, recommendation, or other NLP tasks, TextEmbed delivers with high efficiency.
Latest version:
0.0.8
Required dependencies:
annotated-types
|
anyio
|
certifi
|
charset-normalizer
|
click
|
dnspython
|
email-validator
|
fastapi
|
fastapi-cli
|
filelock
|
fsspec
|
h11
|
httpcore
|
httptools
|
httpx
|
huggingface-hub
|
idna
|
jinja2
|
joblib
|
markdown-it-py
|
markupsafe
|
mdurl
|
mpmath
|
networkx
|
numpy
|
orjson
|
packaging
|
pillow
|
prometheus-client
|
prometheus-fastapi-instrumentator
|
pydantic
|
pydantic-core
|
pygments
|
python-dotenv
|
python-multipart
|
pyyaml
|
regex
|
requests
|
rich
|
safetensors
|
scikit-learn
|
scipy
|
sentence-transformers
|
shellingham
|
sniffio
|
starlette
|
sympy
|
threadpoolctl
|
tokenizers
|
torch
|
tqdm
|
transformers
|
typer
|
typing-extensions
|
ujson
|
urllib3
|
uvicorn
|
uvloop
|
watchfiles
|
websockets
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