Hugging Face's logo
Evanw wu's picture

Evanw wu

012ywu
34
Stevve2's profile picture
·

AI & ML interests

None yet

Recent Activity

reacted to OppaAI's post with 👍 about 2 hours ago
Congrat to HuggingFace Team https://techcrunch.com/2026/08/26/nvidia-closes-in-on-hugging-face-acquisition/
reacted to prithivMLmods's post with 👍 about 2 hours ago
ImageShield-MMCF — Multimodal Content Filter is a multimodal content-safety classifier built on top of Qwen3.5 and is now available on Hugging Face! This is the preview initial version (v1.0) of the model, designed to classify visual content as Safe or Unsafe, with a particular focus on detecting Non-Consensual Intimate Imagery (NCII) and other potentially sensitive visual content. The demo is implemented in the https://huggingface.co/spaces/prithivMLmods/opencaption-4b-vl-sft Space, which serves as an active content-safety layer for computer vision tasks. It helps block NCII content generation and paves the way for more meaningful and responsible creativity. ⊹ ImageShield-MMCF-0.8B: https://huggingface.co/prithivMLmods/ImageShield-MMCF-0.8B ⊹ ImageShield-MMCF-2B: https://huggingface.co/prithivMLmods/ImageShield-MMCF-2B
reacted to Hoglet-33's post with 👍 about 2 hours ago
We are announcing the first generation of the Pebble model family! These are the models we are releasing: - Pebble 10M - Pebble 25M - Pebble 50M Each model will use a Mamba-Transformer 3:1 hybrid architecture and will be pretrained on 25 billion tokens before IFT and SFT. Depending on development time and resources, we may also release: - Pebble 5M - Pebble 75M - Pebble 1M (possibly) We hope you're excited and enjoy the models! Follow for more: @Hoglet-33 https://huggingface.co/basically-ai
View all activity

Organizations

None yet