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---
language:
- en
---
# Model Card for Password-Model
# Model Details
## Model Description
The Password Model is intended to be used with [Credential Digger](https://github.com/SAP/credential-digger) in order to automatically filter false positive password discoveries.
- **Developed by:** SAP OSS
- **Shared by [Optional]:** Hugging Face
- **Model type:** Text Classification
- **Language(s) (NLP):** en
- **License:** Apache-2.0
- **Related Models:**
- **Parent Model:** RoBERTa
- **Resources for more information:**
- [GitHub Repo](https://github.com/SAP/credential-digger)
- [Associated Paper](https://www.scitepress.org/Papers/2021/102381/102381.pdf)
# Uses
## Direct Use
The model is directly integrated into [Credential Digger]((https://github.com/SAP/credential-digger) and can be used to filter the false positive password discoveries of a scan.
## Out-of-Scope Use
The model should not be used to intentionally create hostile or alienating environments for people.
# Training Details
## Training Data
[CodeBERT-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) fine-tuned on a dataset for leak detection.
## Training Procedure
### Preprocessing
More information needed
### Speeds, Sizes, Times
More information needed
# Evaluation
More information needed
## Testing Data, Factors & Metrics
### Testing Data
More information needed
### Factors
More information needed
### Metrics
More information needed
## Results
More information needed
# Model Examination
More information needed
# Environmental Impact
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** More information needed
- **Hours used:** More information needed
- **Cloud Provider:** More information needed
- **Compute Region:** More information needed
- **Carbon Emitted:** More information needed
# Technical Specifications [optional]
## Model Architecture and Objective
More information needed
## Compute Infrastructure
More information needed
### Hardware
More information needed
### Software
More information needed
# Citation
**BibTeX:**
```
TBD
```
# Model Card Authors [optional]
SAP OSS in collaboration with Ezi Ozoani and the Hugging Face team.
# Model Card Contact
More information needed
# How to Get Started with the Model
The model is directly integrated into Credential Digger and can be used to filter the false positive discoveries of a scan
<details>
<summary> Click to expand </summary>
```python
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("SAPOSS/password-model")
model = AutoModelForSequenceClassification.from_pretrained("SAPOSS/password-model")
```
</details>
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