Text Classification
Transformers
ONNX
Safetensors
Portuguese
bert
ai-detection
portuguese
text-embeddings-inference
Instructions to use Detecting-ai/pt-ai-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Detecting-ai/pt-ai-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Detecting-ai/pt-ai-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Detecting-ai/pt-ai-detector") model = AutoModelForSequenceClassification.from_pretrained("Detecting-ai/pt-ai-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f813b95ef29ad14fb09719dababc0d68514fb126702138e27e8f33ec5697e2ee
- Size of remote file:
- 5.71 kB
- SHA256:
- b4f19b5091d129cda669ca4d1b9ed1b1498e7fc41412ea90fd9615d0317da358
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.