huolongguo10/LLM_detect

Model Card for Model ID

This modelcard aims to detect text that was generated by LLMs.

Model Details

Model Description

• Developed by: huolongguo10
• Model type: bert
• Language(s) (NLP): Chinese
• License: [More Information Needed]
• Finetuned from model [optional]: bert-base-chinese

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("huolongguo10/LLM_detect")

model = AutoModelForMaskedLM.from_pretrained("huolongguo10/LLM_detect")

Training Details

Training Data

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

• Training regime: fp32

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• Hardware Type: P100
• Hours used: 4h
• Cloud Provider: kaggle

Technical Specifications [optional]

Model Architecture and Objective

bert

Compute Infrastructure

[More Information Needed]

Hardware

P100

Software

transformers

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]