Naveen Pandurangi's Projects
Animagine XL 3.0 is the latest version of the sophisticated open-source anime text-to-image model, building upon the capabilities of its predecessor, Animagine XL 2.0. Developed based on Stable Diffusion XL, this iteration boasts superior image generation with notable improvements.
A terminating Apollo Link for Apollo Client that allows FileList, File, Blob or ReactNativeFile instances within query or mutation variables and sends GraphQL multipart requests.
Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying.
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 7B Python specialist version in the Hugging Face Transformers format.
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 34B Python specialist version. This model is designed for general code synthesis and understanding.
ComfyUI is a node-based GUI for Stable Diffusion. In this template we will import ComfyUI on Inferless.
hackathon-KSIT
Pure react rich text editor built on top of draft-js.
All-in-one coding news reader 👩🏽💻
DeciLM-7B is a 7.04 billion parameter decoder-only text generation model, released under the Apache 2.0 license. At the time of release, DeciLM-7B is the top-performing 7B base language model on the Open LLM Leaderboard. With support for an 8K-token sequence length, this highly efficient model uses variable Grouped-Query Attention (GQA)
React Plugin Architecture for Draft.js including Slack-Like Emojis, FB-Like Mentions and Stickers
final year project
inferless_template
inferless_template_input
inferless_template_input_batch
Transform your objects to desired rich ones using declarative rules.