LLM_detect

Model Card for Model ID

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

Model Details

Model Description

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

Model Sources [optional]

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• Demo [optional]: [More Information Needed]

Uses

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Direct Use

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from transformers import AutoTokenizer, AutoModelForMaskedLM

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

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

Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

• Training regime: fp32 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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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

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Hardware

P100

Software

transformers

Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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