Downloads · 30 days
13
25% of all-time downloads
TOS_BERT
prasannadhungana8848/TOS_BERT
TOS_BERT is a text classification model from prasannadhungana8848. Use it when you need a label for a piece of text. It is set up for transformers.
All-time downloads
51
Public
Parameters
109M
438 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024
- SHA
- 62917dbe
Try a prompt
Datasets
Model card
From the Hugging Face model README
TOS-BERT
Model details
- Model type: [BERT]
- Training data: [This model is finetuned on "CodeHima/TOS_DatasetV3".]
- Intended use: [This model is used to classify the terms of documents according to their unfairness level.]
Usage
Here's a quick example of how to use the model:
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("prasannadhungana8848/TOS_BERT")
tokenizer = AutoTokenizer.from_pretrained("prasannadhungana8848/TOS_BERT")
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024