Text Classification
Transformers
Safetensors
English
deberta-v2
ai-detection
machine-generated-text-detection
deberta-v3
text-embeddings-inference
Instructions to use textsightai/textsight-detector-v23-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textsightai/textsight-detector-v23-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textsightai/textsight-detector-v23-custom")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textsightai/textsight-detector-v23-custom") model = AutoModelForSequenceClassification.from_pretrained("textsightai/textsight-detector-v23-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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