Video Generation Agent
π
Sneha R
Sneha7
AI & ML interests
GenAI
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updated a Space about 11 hours ago
Sneha7/video-generation-agent published a Space about 11 hours ago
Sneha7/video-generation-agent new activity 11 days ago
humanitys-last-hackathon/signup:Update src/app/signup-panel.tsxOrganizations
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Update src/app/signup-panel.tsx
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#1 opened 17 days ago
by 
pcuenq
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Need permission to add environment to hub?
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#2 opened 4 months ago
by Sneha7
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What is the deadline for the OpenEnv hack event
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#1 opened 4 months ago
by 
bpHigh
reacted to sergiopaniego's post with π₯ 4 months ago
Post
2897
ICYMI, you can fine-tune open LLMs using Claude Code
just tell it:
βFine-tune Qwen3-0.6B on open-r1/codeforces-cotsβ
and Claude submits a real training job on HF GPUs using TRL.
it handles everything:
> dataset validation
> GPU selection
> training + Trackio monitoring
> job submission + cost estimation
when itβs done, your model is on the Hub, ready to use
read more about the process: https://huggingface.co/blog/hf-skills-training
just tell it:
βFine-tune Qwen3-0.6B on open-r1/codeforces-cotsβ
and Claude submits a real training job on HF GPUs using TRL.
it handles everything:
> dataset validation
> GPU selection
> training + Trackio monitoring
> job submission + cost estimation
when itβs done, your model is on the Hub, ready to use
read more about the process: https://huggingface.co/blog/hf-skills-training
- 1 reply
reacted to sergiopaniego's post with π 4 months ago
Post
944
TRL v0.27.0 is out!! π₯³
It includes GDPO, the latest variant of GRPO for multi-reward RL β¨
GDPO decouples reward normalization to avoid reward collapse and improve per-reward convergence β developed by
@sliuau @SimonX et al.
Explore the paper: GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (2601.05242)
Explore the full set of changes here:
https://github.com/huggingface/trl/releases/tag/v0.27.0
It includes GDPO, the latest variant of GRPO for multi-reward RL β¨
GDPO decouples reward normalization to avoid reward collapse and improve per-reward convergence β developed by
@sliuau @SimonX et al.
Explore the paper: GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (2601.05242)
Explore the full set of changes here:
https://github.com/huggingface/trl/releases/tag/v0.27.0
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