Instructions to use aieng-lab/CodeLlama-7b-hf_issue-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/CodeLlama-7b-hf_issue-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/CodeLlama-7b-hf_issue-type")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/CodeLlama-7b-hf_issue-type") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/CodeLlama-7b-hf_issue-type") - Notebooks
- Google Colab
- Kaggle
File size: 847 Bytes
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library_name: transformers
license: llama2
language:
- en
metrics:
- f1
- precision
- recall
base_model:
- meta-llama/CodeLlama-7b-hf
pipeline_tag: text-classification
---
# CodeLlama 7b for classifying issues
This model classifies GitHub issues as 'bug', 'enhancement' or 'question'.
- **Developed by:** Fabian C. Peña, Steffen Herbold
- **Finetuned from:** [meta-llama/CodeLlama-7b-hf](https://huggingface.co/meta-llama/CodeLlama-7b-hf)
- **Replication kit:** [https://github.com/aieng-lab/senlp-benchmark](https://github.com/aieng-lab/senlp-benchmark)
- **Language:** English
- **License:** Llama 2 Community License Agreement
## Citation
```
@misc{pena2025benchmark,
author = {Fabian Peña and Steffen Herbold},
title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
year = {2025}
}
```
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