Text Classification
Transformers
Safetensors
English
longformer
ai-generated-text-detection
social-media
Instructions to use tarryzhang/OSM-Det with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarryzhang/OSM-Det with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tarryzhang/OSM-Det")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tarryzhang/OSM-Det") model = AutoModelForSequenceClassification.from_pretrained("tarryzhang/OSM-Det", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from tarryzhang/OSM-Det: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/tarryzhang/OSM-Det/resolve/main/tokenizer.json
- Command line
-
hf download hf://tarryzhang/OSM-Det/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tarryzhang/OSM-Det/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.