Instructions to use samiths/Script-Generate-4GL-V1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samiths/Script-Generate-4GL-V1.0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samiths/Script-Generate-4GL-V1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,131 Bytes
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library_name: transformers
tags:
- OUAF
- Oracle
- 4GL
license: mit
language:
- en
base_model:
- meta-llama/Llama-3.2-1B-Instruct
---
### Model Description
Generated 4GL Scripts from english prompts
- **Developed by:** Amith Sourya Sadineni
- **Model type:** Text Generation
- **Language(s):** Python
- **License:** MIT
- **Finetuned from model:** meta-llama/Llama-3.2-1B-Instruct
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** https://huggingface.co/amithsourya/Script-Generate-4GL-V1.0/blob/main/adapter_model.safetensors
- **Demo:** https://colab.research.google.com/drive/1wdveoznPyiKrb-kZ4gTRRMpq82Qih8Z_?usp=sharing#scrollTo=N40paBum-cc7
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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:** T4 GPU
- **Hours used:** 0H:23M
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