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topic_modelling

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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 5 months ago

.github
first commit 12 months ago
funcs
Removed some requirements from Dockerfile for AWS deployment to reduce container size 5 months ago
.dockerignore

203 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 7 months ago
.gitignore

226 Bytes

Can split passages into sentences. Improved embedding, LLM representation models, improved zero shot capabilities 7 months ago
Dockerfile

3.17 kB

Removed some requirements from Dockerfile for AWS deployment to reduce container size 5 months ago
LICENSE

11.6 kB

first commit 12 months ago
README.md

1.9 kB

Updated Gradio version for spaces. Updated Dockerfile to enable Llama.cpp build with Cmake 5 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). 5 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). 5 months ago
how_to_create_exe_dist.txt

1.89 kB

Upgraded to Gradio 4.16.0. Guide for converting to exe added. 11 months 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). 5 months ago
requirements_aws.txt

454 Bytes

Removed some requirements from Dockerfile for AWS deployment to reduce container size 5 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). 5 months ago