text-embeddings-inference-client

View on PyPIReverse Dependencies (0)

0.1.0 text_embeddings_inference_client-0.1.0-py3-none-any.whl

Wheel Details

Project: text-embeddings-inference-client
Version: 0.1.0
Filename: text_embeddings_inference_client-0.1.0-py3-none-any.whl
Download: [link]
Size: 19695
MD5: 208603adb96d0f94a230331586609c2f
SHA256: 2838d8cb6b918b7f038eec838b0425e58996a3def0403d3f27d1578e8359b0a2
Uploaded: 2023-10-18 12:14:56 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: text-embeddings-inference-client
Version: 0.1.0
Summary: A client library for accessing Text Embeddings Inference
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8,<4.0
Requires-Dist: attrs (>=21.3.0)
Requires-Dist: httpx (<0.26.0,>=0.20.0)
Requires-Dist: python-dateutil (<3.0.0,>=2.8.0)
Description-Content-Type: text/markdown
[Description omitted; length: 5220 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.7.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
text_embeddings_inference_client/__init__.py sha256=LTMPMGSRFGYatiuAkYDJmH6E-9smsdc5uS4sx5cZ_C4 169
text_embeddings_inference_client/api/__init__.py sha256=87ApBzKyGb5zsgTMOkQXDqsLZCmaSFoJMwbGzCDQZMw 47
text_embeddings_inference_client/api/text_embeddings_inference/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
text_embeddings_inference_client/api/text_embeddings_inference/embed.py sha256=lqmKbu3_t5HcF4d-6DZoM-HcsmPENzoc3LVrx7JldBg 5043
text_embeddings_inference_client/api/text_embeddings_inference/get_model_info.py sha256=AAfZuOuBlUiIUr0WAUVfTletZm6-vYPI7U_djWTySj0 2150
text_embeddings_inference_client/api/text_embeddings_inference/health.py sha256=mfiL3hhtJsrErLjEi2JPjklqThe6n91kUqUcML6sEWg 3594
text_embeddings_inference_client/api/text_embeddings_inference/metrics.py sha256=AMRJi1PP0NAuupQZXb5_O2-8oXFZTlajZuDCIJgOe9k 2133
text_embeddings_inference_client/api/text_embeddings_inference/openai_embed.py sha256=DMZjackUBEJk8cZ2EGhda0BDnzp4PgAnJuox2HPzdSY 5221
text_embeddings_inference_client/client.py sha256=r4usc_1YIQRI4Sr33G9Z3H25-bKCZ5w2I9qZ_eCUP3M 12131
text_embeddings_inference_client/errors.py sha256=8mXSxdfSGzxT82srdhYbR0fHfgenxJXaUtMkaGgb6iU 470
text_embeddings_inference_client/models/__init__.py sha256=zz4HKe4qnMS7abUlOQEt57hqzm0FG2oZltpekRCT4ow 687
text_embeddings_inference_client/models/embed_request.py sha256=-0f4taSNGypr7ng5Ddz4lVlG2wAmue5sPSjLn-yynT4 2378
text_embeddings_inference_client/models/error_response.py sha256=eSyoyewk2mHhljp8IM8wEvBatMGRGhrXI-bvqTDmYMo 1711
text_embeddings_inference_client/models/error_type.py sha256=_2xQb9GfSraR5zCCKkkaDxevCUYapKyJNFMLFZ4etzE 254
text_embeddings_inference_client/models/open_ai_compat_embedding.py sha256=cGq0otnlgAHECl4QlnEEzPGEP9E3oZySm5uhP0F8ATI 1954
text_embeddings_inference_client/models/open_ai_compat_error_response.py sha256=aQlIhqDacRe1u99rv8xpZpUPXEvc6M7m_pE-JqFx5FM 1943
text_embeddings_inference_client/models/open_ai_compat_request.py sha256=hCtJKT1PUZdO4UO3uB_ZET813HE9LvbKrTpsCeUUakk 2630
text_embeddings_inference_client/models/open_ai_compat_response.py sha256=BLk2ZraG0TC-wzLlRj8zyEN0G7sHygvkA5uhy2V2qkk 2708
text_embeddings_inference_client/models/open_ai_compat_usage.py sha256=W8Ehnr9AgEPwxvvBh7RLTPI1bPYVuAu03ert9klC9NA 1795
text_embeddings_inference_client/py.typed sha256=8ZJUsxZiuOy1oJeVhsTWQhTG_6pTVHVXk5hJL79ebTk 25
text_embeddings_inference_client/types.py sha256=GoYub3t4hQP2Yn5tsvShsBfIY3vHUmblU0MXszDx_V0 968
text_embeddings_inference_client-0.1.0.dist-info/METADATA sha256=u8-3yebCAGMyn9yaFgsSAAlHnHkmNn9UUq1VEbxCV1k 5801
text_embeddings_inference_client-0.1.0.dist-info/WHEEL sha256=d2fvjOD7sXsVzChCqf0Ty0JbHKBaLYwDbGQDwQTnJ50 88
text_embeddings_inference_client-0.1.0.dist-info/RECORD