Text Classification
Transformers
Safetensors
English
gpt2
ai-text-detection
binary-classification
variable-position-readout
Instructions to use rasbt/ai-text-detector-gpt2-variable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasbt/ai-text-detector-gpt2-variable with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasbt/ai-text-detector-gpt2-variable")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasbt/ai-text-detector-gpt2-variable") model = AutoModelForSequenceClassification.from_pretrained("rasbt/ai-text-detector-gpt2-variable", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 320 Bytes
946a240 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|endoftext|>",
"eos_token": "<|endoftext|>",
"errors": "replace",
"is_local": false,
"local_files_only": false,
"model_max_length": 1024,
"pad_token": "<|pad|>",
"tokenizer_class": "GPT2Tokenizer",
"unk_token": "<|endoftext|>"
}
|