Downloads · 30 days
95
13% of all-time downloads
turkce-kufur-tespiti
thothai/turkce-kufur-tespiti
turkce-kufur-tespiti is a machine learning model from thothai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as afl-3.0.
- Loss: 0.230 - Accuracy: 0.936 - Macro F1: 0.927 - Micro F1: 0.936 - Weighted F1: 0.936 - Macro Precision: 0.929 - Micro Precision: 0.936 - Weighted Precision: 0.936 - Macro Recall: 0.925 - Micro Recall: 0.936 - Weig…
All-time downloads
713
Public
Repo size
886 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin443 MB · 100%
At a glance
- Library
- transformers
- License
- afl-3.0
- Access
- Public
- Created
- Oct 23, 2022
- Updated
- Oct 23, 2022
- SHA
- 63f8f1fa
Model card
From the Hugging Face model README
Thoth Ai, Türkçe hakaret ve küfürleri tespit etmek için oluşturulmuştur. Akademik projelerde kaynak gösterilmesi halinde kullanılabilir.
Validation Metrics
- Loss: 0.230
- Accuracy: 0.936
- Macro F1: 0.927
- Micro F1: 0.936
- Weighted F1: 0.936
- Macro Precision: 0.929
- Micro Precision: 0.936
- Weighted Precision: 0.936
- Macro Recall: 0.925
- Micro Recall: 0.936
- Weighted Recall: 0.936
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("thothai/turkce-kufur-tespiti", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("thothai/turkce-kufur-tespiti", use_auth_token=True)
inputs = tokenizer("Merhaba", return_tensors="pt")
outputs = model(**inputs)
- Library
- transformers
- License
- afl-3.0
- Created
- Oct 23, 2022
- Updated
- Oct 23, 2022