Text Classification
Transformers
PyTorch
English
promptforge_quality
promptforge
prompt-engineering
prompt-quality
modernbert
regression
llm
Instructions to use ArjunShukla/PromptForge-Quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArjunShukla/PromptForge-Quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArjunShukla/PromptForge-Quality")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArjunShukla/PromptForge-Quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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## How to Get Started with the Model
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###
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```bash
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pip install tuneprompt
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# or from source: pip install -e ".[demo]"
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python -m promptforge download \
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--quality-repo ArjunShukla/PromptForge-Quality \
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--optimizer-repo ArjunShukla/PromptForge-Optimizer
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python -m promptforge analyze "Build me a website"
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```
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```python
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# → quality_score, dimensions, issues, missing_information
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```
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### Full pipeline (score + optimize)
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```python
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## How to Get Started with the Model
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### Install & use with [`tuneprompt`](https://pypi.org/project/tuneprompt/) (recommended)
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```bash
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pip install tuneprompt
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python -m promptforge download \
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--quality-repo ArjunShukla/PromptForge-Quality \
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--optimizer-repo ArjunShukla/PromptForge-Optimizer
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python -m promptforge analyze "Build me a website"
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# or: tuneprompt analyze "Build me a website"
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```
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```python
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# → quality_score, dimensions, issues, missing_information
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```
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> **Package:** [`tuneprompt`](https://pypi.org/project/tuneprompt/1.0.0/) on PyPI · **Import:** `promptforge` · **CLI:** `tuneprompt` / `promptforge` · **Code:** https://github.com/arjun988/promptModel
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### Full pipeline (score + optimize)
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```python
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