fix dtype

update rule unit

fix bug branch

change predict rule

update new data

Refactor validation script to improve file comparison functionality, rename class for clarity, and update documentation. Add file_comparison_report.txt to .gitignore to prevent accidental commits.

Remove large cache files and update .gitignore to prevent future large file commits

Update cached embeddings and standard name mapping data with new sizes and additional entries for improved data integrity and project completeness.

Update cached embeddings with new SHA256 hashes and sizes for improved data integrity.

Update Dockerfile to copy sample data files to a new directory for improved data organization.

Update model configuration to use OpenVINO, modify cached embeddings with new sizes, and enhance .gitignore to exclude additional data files for improved project management.

Refactor Dockerfile to streamline directory creation for appuser, removing unnecessary steps and ensuring proper permissions for AI model caching after git clone.

Refactor Dockerfile to create necessary directories and set permissions for appuser, ensuring proper access for AI model caching and application execution.

Refactor unit mapping in prediction process by replacing UnitMapper with UnitSimilarityMapper for improved similarity calculations and error handling.

Update model to cl-nagoya-sup-simcse-ja-nss-v1_0_8_5, remove outdated anchor name sentence embeddings file, and update cached embeddings with new sizes for improved prediction accuracy.

Update model to cl-nagoya-sup-simcse-ja-nss-v1_0_8_4, add new standard name mapping functionality in prediction process, and enhance data loading in sentence transformer service.

Update cached embeddings with new sizes, enhance prediction output by adding standard and aggregate unit columns, and refactor loading logic in the sentence transformer service for improved error handling.

Remove outdated anchor name sentence embeddings file, update cached embeddings with new sizes, and refactor sub subject and name mapping in the prediction process.

Refactor prediction process by removing debug print statements and suppressing pandas warnings globally in the sentence transformer service.

Update Dockerfile to ensure correct structure of abstractMapData.csv and add debug checks.

Enhance prediction process by adding missing columns with defaults, ensuring correct data types, and improving error handling. Update cached embeddings with new size.

Update Dockerfile to clone from the 'develop' branch, update cached embeddings with new sizes, and ensure required columns in prediction output are handled correctly.

Update model to cl-nagoya-sup-simcse-ja-nss-v1_0_8_3, add new data files, and enhance startup process with directory creation and model loading.

update model to cl-nagoya-sup-simcse-ja-nss-v_1_0_7_13 and remove outdated sentence embedding files

update model cl-nagoya-sup-simcse-ja-nss-v_1_0_7_10

update model v1_0_7_8

remove redundant

fix authen header

token store

simple authen

fix authen

fix authen

add debug

add middleware

fix authen

update GPU config

convert to GPU

new model 1_0_6

update model

update standardData

update quant 8int config

up

new model 1.0.2

update confirm

fix raw predict

upload new model

upload new standard

update config

Merge branch 'main' of https://huggingface.co/spaces/Detomo/meisaicheck-api

upload new model