probably someone can help make it ;]
NeoDev
NeoPy
AI & ML interests
RVC, UVR, SDXL, gradio
Recent Activity
liked
a Space
about 13 hours ago
asigalov61/Orpheus-Music-Transformer
liked
a Space
2 days ago
Nick088/Audio-SR
updated
a Space
2 days ago
NeoPy/SongGeneration
Organizations

replied to
their
post
about 1 month ago

replied to
their
post
about 1 month ago
Have you created a YouTube video of how it is used and, most importantly, showing the results..
sure if i had lot time recording stuff and editing of course.

posted
an
update
about 1 month ago
Post
2377
today i finished making my own projects: RVC maker.
See it on
Github:
https://github.com/unchCrew/RVC-MAKER
Spaces π€:
NeoPy/RVC-MAKER
Or Colab:
https://colab.research.google.com/github/TheNeodev/RVC-MAKER/blob/main/webui.ipynb
base code by:
@AnhP
See it on
Github:
https://github.com/unchCrew/RVC-MAKER
Spaces π€:
NeoPy/RVC-MAKER
Or Colab:
https://colab.research.google.com/github/TheNeodev/RVC-MAKER/blob/main/webui.ipynb
base code by:
@AnhP

reacted to
clem's
post with π€
about 2 months ago
Post
1554
The
meta-llama
org just crossed 40,000 followers on Hugging Face. Grateful for all their impact on the field sharing the Llama weights openly and much more!
We need more of this from all other big tech to make the AI more open, collaborative and beneficial to all!

We need more of this from all other big tech to make the AI more open, collaborative and beneficial to all!

reacted to
nroggendorff's
post with π€π€π€
4 months ago

reacted to
Reality123b's
post with π
5 months ago

reacted to
v2ray's
post with π
5 months ago
Post
2510
GPT4chan Series Release
GPT4chan is a series of models I trained on v2ray/4chan dataset, which is based on lesserfield/4chan-datasets. The dataset contains mostly posts from 2023. Not every board is included, for example, /pol/ is NOT included. To see which boards are included, visit v2ray/4chan.
This release contains 2 models sizes, 8B and 24B. The 8B model is based on meta-llama/Llama-3.1-8B and the 24B model is based on mistralai/Mistral-Small-24B-Base-2501.
Why I made these models? Because for a long time after the original gpt-4chan model, there aren't any serious fine-tunes on 4chan datasets. 4chan is a good data source since it contains coherent replies and nice topics. It's fun to talk to an AI generated version of 4chan and get instant replies, and without the need to actually visit 4chan. You can also sort of analyze the content and behavior of 4chan posts by probing the model's outputs.
Disclaimer: The GPT4chan models should only be used for research purposes, the outputs they generated do not represent the view of me on the subjects. Moderate the responses before sending it online.
Model links:
Full model:
- v2ray/GPT4chan-8B
- v2ray/GPT4chan-24B
Adapter:
- v2ray/GPT4chan-8B-QLoRA
- v2ray/GPT4chan-24B-QLoRA
AWQ:
- v2ray/GPT4chan-8B-AWQ
- v2ray/GPT4chan-24B-AWQ
FP8:
- v2ray/GPT4chan-8B-FP8
GPT4chan is a series of models I trained on v2ray/4chan dataset, which is based on lesserfield/4chan-datasets. The dataset contains mostly posts from 2023. Not every board is included, for example, /pol/ is NOT included. To see which boards are included, visit v2ray/4chan.
This release contains 2 models sizes, 8B and 24B. The 8B model is based on meta-llama/Llama-3.1-8B and the 24B model is based on mistralai/Mistral-Small-24B-Base-2501.
Why I made these models? Because for a long time after the original gpt-4chan model, there aren't any serious fine-tunes on 4chan datasets. 4chan is a good data source since it contains coherent replies and nice topics. It's fun to talk to an AI generated version of 4chan and get instant replies, and without the need to actually visit 4chan. You can also sort of analyze the content and behavior of 4chan posts by probing the model's outputs.
Disclaimer: The GPT4chan models should only be used for research purposes, the outputs they generated do not represent the view of me on the subjects. Moderate the responses before sending it online.
Model links:
Full model:
- v2ray/GPT4chan-8B
- v2ray/GPT4chan-24B
Adapter:
- v2ray/GPT4chan-8B-QLoRA
- v2ray/GPT4chan-24B-QLoRA
AWQ:
- v2ray/GPT4chan-8B-AWQ
- v2ray/GPT4chan-24B-AWQ
FP8:
- v2ray/GPT4chan-8B-FP8

reacted to
burtenshaw's
post with π
5 months ago
Post
3387
Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:
- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm
There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.
- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm
There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.

reacted to
burtenshaw's
post with π€―π€―π€―π€―
5 months ago
Post
2687
AI was built on side projects!

reacted to
burtenshaw's
post with π
5 months ago
Post
4080
π§ Work in Progress! π§
π·ββοΈ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.
If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:
- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8
π·ββοΈ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.
If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:
- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8

reacted to
prithivMLmods's
post with π₯
5 months ago
Post
3788
Q'n' Sketches β€οΈβπ₯
πΌοΈ Adapters:
- Qs : strangerzonehf/Qs-Sketch
- Qd : strangerzonehf/Qd-Sketch
- Qx : strangerzonehf/Qx-Art
- Qc : strangerzonehf/Qc-Sketch
- Bb : strangerzonehf/Bg-Bag
π Collection : strangerzonehf/q-series-sketch-678e3503bf3a661758429717
πPage :
strangerzonehf
.
.
.
@prithivMLmods π€
πΌοΈ Adapters:
- Qs : strangerzonehf/Qs-Sketch
- Qd : strangerzonehf/Qd-Sketch
- Qx : strangerzonehf/Qx-Art
- Qc : strangerzonehf/Qc-Sketch
- Bb : strangerzonehf/Bg-Bag
π Collection : strangerzonehf/q-series-sketch-678e3503bf3a661758429717
πPage :

.
.
.
@prithivMLmods π€

reacted to
burtenshaw's
post with π₯
5 months ago
Post
49619
Weβre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents

reacted to
nroggendorff's
post with π
6 months ago