VDrontV2-Title / README.md

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metadata

license: cc0-1.0
datasets:
  - SupraLabs/chat-titles-filtered-115K
language:
  - en
base_model:
  - VDC-team/VDrontV2-0.1b
tags:
  - Titler
  - Title
  - 0.1b
  - LM
  - LMM
  - GPT
  - gpt-like

VDrontV2-Title — a 100M LM for generating titles.

(user) question (title) title (end_title)

use.py - example using.

To use it, download the model files, place them in the `VDrontV2-Title/` local folder along with `use.py`, and run the script. (You are writing from the user's perspective.)

Examples (use.py)


User: What is a Python lan?
Title: Python Programming Guide

User: The most popular game in the world is?
Title: Best Game Of The Year 

User: Can you help me about a programming?
Title: Programming Definition

VDC-team
/

VDrontV2-Title

(user) question (title) title (end_title)

use.py - example using.

To use it, download the model files, place them in the `VDrontV2-Title/` local folder along with `use.py`, and run the script. (You are writing from the user's perspective.)

Examples (use.py)

CTX 1024 !

cc0-1.0

(user) question (title) title (end_title)

use.py - example using.

To use it, download the model files, place them in the VDrontV2-Title/ local folder along with use.py, and run the script. (You are writing from the user's perspective.)

Examples (use.py)

CTX 1024 !

cc0-1.0

To use it, download the model files, place them in the `VDrontV2-Title/` local folder along with `use.py`, and run the script. (You are writing from the user's perspective.)