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: 1,129 Bytes
946a240 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"activation_function": "gelu_new",
"add_cross_attention": false,
"architectures": [
"GPT2ForSequenceClassification"
],
"attn_pdrop": 0.1,
"bos_token_id": 50256,
"dtype": "bfloat16",
"embd_pdrop": 0.1,
"eos_token_id": 50256,
"id2label": {
"0": "HUMAN",
"1": "AI"
},
"initializer_range": 0.02,
"label2id": {
"AI": 1,
"HUMAN": 0
},
"layer_norm_epsilon": 1e-05,
"model_type": "gpt2",
"n_ctx": 1024,
"n_embd": 768,
"n_head": 12,
"n_inner": null,
"n_layer": 12,
"n_positions": 1024,
"pad_token_id": 50257,
"problem_type": "single_label_classification",
"reorder_and_upcast_attn": false,
"resid_pdrop": 0.1,
"scale_attn_by_inverse_layer_idx": false,
"scale_attn_weights": true,
"summary_activation": null,
"summary_first_dropout": 0.1,
"summary_proj_to_labels": true,
"summary_type": "cls_index",
"summary_use_proj": true,
"task_specific_params": {
"text-generation": {
"do_sample": true,
"max_length": 50
}
},
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"use_cache": false,
"vocab_size": 50258
}
|