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topic_modelling

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History: 47 commits

seanpedrickcase

Removed some requirements from Dockerfile for AWS deployment to reduce container size

51ba1cb 7 months ago

.github
first commit about 1 year ago
funcs
Removed some requirements from Dockerfile for AWS deployment to reduce container size 7 months ago
.dockerignore

203 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 9 months ago
.gitignore

226 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 9 months ago
Dockerfile

3.17 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size 7 months ago
LICENSE

11.6 kB

first commit about 1 year ago
README.md

1.9 kB

Updated Gradio version for spaces. Updated Dockerfile to enable Llama.cpp build with Cmake 7 months 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). 7 months ago
download_model.py

558 Bytes

Allowed for app running on AWS to use smaller embedding model and not to load representation LLM (due to size restrictions). 7 months ago
how_to_create_exe_dist.txt

1.89 kB

Upgraded to Gradio 4.16.0. Guide for converting to exe added. about 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). 7 months ago
requirements_aws.txt

454 Bytes

Removed some requirements from Dockerfile for AWS deployment to reduce container size 7 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). 7 months ago