Downloads · 30 days
8
0% of all-time downloads
adultcontentclassifier
ziadA123/adultcontentclassifier
adultcontentclassifier is a text classification model from ziadA123. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Binary Classification - Model ID: 3642997339 - CO2 Emissions (in grams): 0.0044
All-time downloads
43.3K
Public
Repo size
1.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin651 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023
- SHA
- 302c093d
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3642997339
- CO2 Emissions (in grams): 0.0044
Validation Metrics
- Loss: 0.244
- Accuracy: 0.925
- Precision: 0.924
- Recall: 0.927
- AUC: 0.971
- F1: 0.925
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/ziadA123/autotrain-adult-classification-3642997339
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ziadA123/autotrain-adult-classification-3642997339", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ziadA123/autotrain-adult-classification-3642997339", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- unk
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023