Downloads · 30 days
13
0% of all-time downloads
albert-base-v2-fine-tune-twitter-identity-classification
Johnade/albert-base-v2-fine-tune-twitter-identity-classification
albert-base-v2-fine-tune-twitter-identity-classification is a text classification model from Johnade. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This project aims to build a model capable of predicting the identity of a twitter user from their twitter.
All-time downloads
3.4K
Public
Repo size
93.5 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin46.8 MB · 95%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Mar 6, 2023
- Updated
- Mar 7, 2023
- SHA
- 3229afe4
Try a prompt
Model card
From the Hugging Face model README
Model Description
This project aims to build a model capable of predicting the identity of a twitter user from their twitter.
Before proceeding I would raise the minor caveat that identity here is defined as male, female, or a brand. In some of the code snippets gender is used in place of identity because of how the column was labelled in the data.
Output Key
Label_0 = Brand
Label_1 = Female
Label_2 = Male
Base model
Base model is the mult albert-base-v2
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Mar 6, 2023
- Updated
- Mar 7, 2023