Text Classification
Transformers
Safetensors
English
electra
ai-detection
machine-generated-text-detection
deprecated
Instructions to use textsightai/textsight-detector-v16-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textsightai/textsight-detector-v16-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textsightai/textsight-detector-v16-custom")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textsightai/textsight-detector-v16-custom") model = AutoModelForSequenceClassification.from_pretrained("textsightai/textsight-detector-v16-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from textsightai/textsight-detector-v16-custom: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/textsightai/textsight-detector-v16-custom/resolve/main/tokenizer.json
- Command line
-
hf download hf://textsightai/textsight-detector-v16-custom/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/textsightai/textsight-detector-v16-custom/resolve/main/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.