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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 787f558819978fd54f6411bf83394e6203972be0c7634af7bbb7c45d744f0e23
- Size of remote file:
- 436 MB
- SHA256:
- 5626e8687785505745cdcab8f908d417727f975181098f78f9f35cc2a47b8450
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