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0.1.9 embedding_ada-0.1.9-py3-none-any.whl

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Project: embedding-ada
Version: 0.1.9
Filename: embedding_ada-0.1.9-py3-none-any.whl
Download: [link]
Size: 16743
MD5: b4efb6d03089d1ffbc973395edde9bec
SHA256: 531e044bc5a39dc85def9a239c6cd50ab5e4444cd0901171291c6e682691e0d0
Uploaded: 2024-08-26 11:08:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: embedding-ada
Version: 0.1.9
Summary: Python Package to Train Embedding adapter on top of any Embedding models from Hugging face and OpenAI
Author: Pavan Kumar Medarametla
Author-Email: pavankumarchowdary35[at]gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: langchain
Requires-Dist: langchain-community
Requires-Dist: langchain-core
Requires-Dist: llama-index
Requires-Dist: llama-index-core
Requires-Dist: llama-index-embeddings-adapter
Requires-Dist: llama-index-embeddings-huggingface
Requires-Dist: llama-index-embeddings-langchain
Requires-Dist: llama-index-embeddings-openai
Requires-Dist: llama-index-finetuning
Requires-Dist: llama-index-llms-azure-openai
Requires-Dist: llama-index-embeddings-azure-openai
Requires-Dist: llama-index-llms-openai
Requires-Dist: openai
Requires-Dist: pydantic
Requires-Dist: sentence-transformers
Requires-Dist: tqdm
Requires-Dist: transformers
Requires-Dist: setuptools
Requires-Dist: twine
Requires-Dist: wheel
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4576 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.44.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
embedding_ada/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
embedding_ada/adapter.py sha256=O7HzSVEhOi8L1Den9AEduAn63BCkmqHXONLu51PUZ6E 3506
embedding_ada/adapter_embedding.py sha256=z0YSZaJinwBzsyGG-bBmy_Ckpepg-GAWNnpyOjxeqOI 4421
embedding_ada/base_finetune_engine.py sha256=QTXL7j3fCACcleApEWmABqEM7FJQVuSz8d1_B3GEzgA 561
embedding_ada/embedding_model.py sha256=Fg6gYR8ynRy4rUK2t2hUuXRUzHcvVOYoLXCFBQnubLA 3578
embedding_ada/fine_tune_engine.py sha256=VF9fxdwJBg19_Q6lHrLs_i7eb8ib7ueqcn3cYP6rdc0 6578
embedding_ada/synthetic_dataset.py sha256=XopM5TxYABidmiReshzNDPePDoVQQkylhq0QonnhSBg 7684
embedding_ada/train_model.py sha256=RJXb8hU20Kf4k49ZnIKBm4mPzxZ2Ua8lLzH74m4DQPU 4694
embedding_ada/two_layer_cnn.py sha256=Ri1sdV0L2RVzyRRCf-b2kaJoO9e9OaCOZkLBc_YmUZg 5640
embedding_ada-0.1.9.dist-info/LICENSE sha256=RvrPzoA1jHNL3vnNsU5yzAcnG_SwUvpgihQkPQg2kbQ 1101
embedding_ada-0.1.9.dist-info/METADATA sha256=DS9-0vSQ7n4RnW12pfsA8Ey9EKexcMXCxsmmdkP0rv8 5933
embedding_ada-0.1.9.dist-info/WHEEL sha256=eOLhNAGa2EW3wWl_TU484h7q1UNgy0JXjjoqKoxAAQc 92
embedding_ada-0.1.9.dist-info/top_level.txt sha256=YHM-YWG83SwoyPfBSfvZurlfoQgoNmHD_8zMtXYlPuA 14
embedding_ada-0.1.9.dist-info/RECORD — —

top_level.txt

embedding_ada