Generate text/blog content from input text content using Hugging Face and Python
Budget: ₹12,500 – ₹37,500 INR
I am looking for a Python developer who is proficient with Hugging Face to generate text/blog content from input text content. The desired tone for the generated content is informal, and the preferred length is long, with more than 1000 words. The Hugging Face model to be used is GPT-3.
Please check the requirement and explain me how you 'll do it, I want to understand your approach before I award this project.
The ideal candidate should have the following skills and experience:
- Proficiency in Python and Hugging Face
- Experience in generating text/blog content using Hugging Face
- Familiarity with GPT-3 model
- Strong communication skills to ensure effective collaboration and understanding of project requirements.
More detailed explanation below-
I am currently working on a project to generate text content(large) based on provided input text contents. The program should take input text contents lets say news on a specific topic from different news websites and it will merge the inputs text keeping the information intact and generate a new text output [length may be around 2000 words] which should have all the input information. However output should not be same as input. I have used Hugging Face text summarization for this purpose but that doesn't fit here as I am not looking for summery which has few words, rather I want to recreate/rewrite the input text contents differently. Can this be achieved with Hugging Face, Python?
Please check the requirement and explain me how you 'll do it, I want to understand your approach before I award this project.
The ideal candidate should have the following skills and experience:
- Proficiency in Python and Hugging Face
- Experience in generating text/blog content using Hugging Face
- Familiarity with GPT-3 model
- Strong communication skills to ensure effective collaboration and understanding of project requirements.
More detailed explanation below-
I am currently working on a project to generate text content(large) based on provided input text contents. The program should take input text contents lets say news on a specific topic from different news websites and it will merge the inputs text keeping the information intact and generate a new text output [length may be around 2000 words] which should have all the input information. However output should not be same as input. I have used Hugging Face text summarization for this purpose but that doesn't fit here as I am not looking for summery which has few words, rather I want to recreate/rewrite the input text contents differently. Can this be achieved with Hugging Face, Python?