Downloads · 30 days
9
20% of all-time downloads
Explicit_Content_detection_for_ChildAbuse
Yash345/Explicit_Content_detection_for_ChildAbuse
Explicit_Content_detection_for_ChildAbuse is a text classification model from Yash345. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
All-time downloads
46
Public
Parameters
163M
651 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors651 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024
- SHA
- 9f420eb5
Try a prompt
Model card
From the Hugging Face model README
Uses
For social good.
Direct Use
model_path = ""
model = BertForSequenceClassification.from_pretrained(model_path)
tokenizer= BertTokenizerFast.from_pretrained(model_path)
nlp= pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
nlp("text")
Metrics
Accuracy metrics
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- en
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024