seanpedrickcase/topic_modelling at 00db72b43b950414f2e3397c91839588d57a4810

topic_modelling

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3 contributors

History: 53 commits

seanpedrickcase

Further optimised Dockerfile and requirements (smaller torch installation now hopefully)

00db72b 9 months ago

.github
first commit over 1 year ago
funcs
Removed some requirements from Dockerfile for AWS deployment to reduce container size 9 months ago
.dockerignore

203 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 10 months ago
.gitignore

226 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 10 months ago
Dockerfile

2.75 kB

Further optimised Dockerfile and requirements (smaller torch installation now hopefully) 9 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 9 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). 9 months ago
download_model.py

517 Bytes

Updated download_model.py to download pytorch .bin file 9 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). 9 months ago
requirements_aws.txt

393 Bytes

Further optimised Dockerfile and requirements (smaller torch installation now hopefully) 9 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). 9 months ago