Instructions to use remiai3/text-to-code-using-codegen-project_guide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remiai3/text-to-code-using-codegen-project_guide with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("remiai3/text-to-code-using-codegen-project_guide", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: bsd-3-clause
language:
- en
base_model:
- Salesforce/codegen-350M-multi
library_name: transformers
tags:
- text-to-code
Use only python version 3.10.9 for the development See the document.txt there you get the full step by step process of the project text-to-code-using-codegen-project_guide Here we use the Salesforce/codegen-350M-multi with BSD-3-Clause licensed This repository by RemiAI3 provides a free educational resource for students to fine-tune the codegen-350M-multi for code generation tasks. Detailed instructions are in document.txt.