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topic_modelling

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topic_modelling

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History: 51 commits

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seanpedrickcase

Changed Dockerfile to multi-stage build to further reduce size

0fd155c 12 months ago

.github
first commit over 1 year ago
funcs
Removed some requirements from Dockerfile for AWS deployment to reduce container size 12 months ago
.dockerignore

203 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities about 1 year ago
.gitignore

226 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities about 1 year ago
Dockerfile

2.41 kB

Changed Dockerfile to multi-stage build to further reduce size 12 months ago
LICENSE

11.6 kB

first commit over 1 year ago
README.md

1.9 kB

Updated Gradio version for spaces. Updated Dockerfile to enable Llama.cpp build with Cmake about 1 year ago
app.py

13.7 kB

Allowed for app running on AWS to use smaller embedding model and not to load representation LLM (due to size restrictions). 12 months ago
download_model.py

517 Bytes

Updated download_model.py to download pytorch .bin file 12 months ago
how_to_create_exe_dist.txt

1.89 kB

Upgraded to Gradio 4.16.0. Guide for converting to exe added. over 1 year ago
requirements.txt

615 Bytes

Allowed for app running on AWS to use smaller embedding model and not to load representation LLM (due to size restrictions). 12 months ago
requirements_aws.txt

454 Bytes

Removed some requirements from Dockerfile for AWS deployment to reduce container size 12 months ago
requirements_gpu.txt

646 Bytes

Allowed for app running on AWS to use smaller embedding model and not to load representation LLM (due to size restrictions). 12 months ago