Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Spaces:
seanpedrickcase
/
llm_topic_modelling
Running

App Files Files Community
Fetching metadata from the HF Docker repository...
llm_topic_modelling / tools
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
seanpedrickcase's picture
seanpedrickcase
Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards.
b7f4700 6 months ago
  • __init__.py
    0 Bytes
    First commit 6 months ago
  • auth.py
    1.54 kB
    Allowed for server port, queue size, and file size to be specified by environment variables 6 months ago
  • aws_functions.py
    7.02 kB
    First commit 6 months ago
  • chatfuncs.py
    4.81 kB
    Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards. 6 months ago
  • helper_functions.py
    12.7 kB
    Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards. 6 months ago
  • llm_api_call.py
    87 kB
    Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards. 6 months ago
  • prompts.py
    4.59 kB
    Added support for using local models (specifically Gemma 2b) for topic extraction and summary. Generally improved output format safeguards. 6 months ago