Leaderboard for Hugging Face
Check out the members with the highest scores who have reviewed Hugging Face.
#1. Neeraj Maurya
205
Points
Artificial Intelligence Consultant at GlobalLogic
Reviewed Hugging Face:
Leveraging open models for tailored AI with room for easier model fine-tuning
#2. Neeraj Pokala
205
Points
Machine Learning Engineer at TechMinfy
Reviewed Hugging Face:
An open-source solution that helps to fine-tune large language models
#3. Rohit Patel
135
Points
Generative AI Developer at Rack Ai Private Limited
Reviewed Hugging Face:
An open-source platform that has hundreds of packages for creating LLMs 
135
Points
Director/Enterprise Solutions Architect, Technology Advisor at Kyndryl
Reviewed Hugging Face:
Versatility empowers AI concept development despite the multi-GPU challenge
#6. Vikas_Gupta
115
Points
Python/AI Engineer at Wokegenics Solutions Private Limited
Reviewed Hugging Face:
Easy to use, but initial configuration can be a bit challenging
#7. Melek Ghouma
115
Points
Student at Renater
Reviewed Hugging Face:
Accessible inference APIs drive personal project success for students
#8. Tong Zhang
110
Points
Lead RND Engineer, Data Scientist at IDMED, Beijing China
Reviewed Hugging Face:
Stable, easy to set up, and useful
#9. Vikas Singhvi
95
Points
Founder at AIM
Reviewed Hugging Face:
An open-source application for prototyping with built-in libraries 
#10. Mustafa Kurt
95
Points
Operations Manager at Best Stocktaking Ltd
Reviewed Hugging Face:
Available at a low cost