content.raw: EVA-CLIP 🦖 is the CLIP scaled to the moon! 🔥 
content.type: text
content.value: EVA-CLIP 🦖 is the CLIP scaled to the moon! 🔥 
content.type: new_line
content.raw: The new SotA CLIP-like model 🏆 
content.type: text
content.value: The new SotA CLIP-like model 🏆 
content.type: new_line
content.raw: Highlights ✨ 
content.type: text
content.value: Highlights ✨ 
content.type: new_line
content.raw: - Performs better in linear probing
content.type: text
content.value: - Performs better in linear probing
content.type: new_line
content.raw: - Outperforms in Zero-Shot Image-Text Retrieval
content.type: text
content.value: - Outperforms in Zero-Shot Image-Text Retrieval
content.type: new_line
content.raw: - Higher zero-shot accuracy in IN-1K 
content.type: text
content.value: - Higher zero-shot accuracy in IN-1K 
content.type: new_line
content.type: new_line
content.raw: As usual, try it with the notebook I built for you 
content.type: text
content.value: As usual, try it with the notebook I built for you 
content.href: https://colab.research.google.com/drive/1K7DdCORC3x4qyhwhuB4fT4wcfJ_BQLKw?usp=sharing#scrollTo=0ZS_lJ7SK6Ys
content.raw: https://colab.research.google.com/drive/1K7DdCORC3x4qyhwhuB4fT4wcfJ_BQLKw?usp=sharing#scrollTo=0ZS_lJ7SK6Ys
content.type: link
content.type: new_line
content.raw: I also built a Space for you to compare the output probabilities to CLIP, seems that EVACLIP is more "sure" of it's results 😊 
content.type: text
content.value: I also built a Space for you to compare the output probabilities to CLIP, seems that EVACLIP is more "sure" of it's results 😊 
content.raw: https://huggingface.co/spaces/merve/EVACLIP
content.id: merve/EVACLIP
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/merve/EVACLIP
content.type: new_line
content.raw: The authors have shared 8B checkpoints open with Apache 2.0 license 💜 and it's built on top of transformers, super easy to use! 
content.type: text
content.value: The authors have shared 8B checkpoints open with Apache 2.0 license 💜 and it's built on top of transformers, super easy to use! 
content.raw: https://huggingface.co/BAAI/EVA-CLIP-8B
content.id: BAAI/EVA-CLIP-8B
content.type: model
content.type: resource
content.url: https://huggingface.co/BAAI/EVA-CLIP-8B
content.type: new_line
content.raw: Read the paper 
content.type: text
content.value: Read the paper 
content.label: EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters (2402.04252)
content.raw: https://huggingface.co/papers/2402.04252
content.id: 2402.04252
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2402.04252
content.raw:  📄
content.type: text
content.value:  📄
rawContent: EVA-CLIP 🦖 is the CLIP scaled to the moon! 🔥 
  The new SotA CLIP-like model 🏆 
  Highlights ✨ 
  - Performs better in linear probing
  - Outperforms in Zero-Shot Image-Text Retrieval
  - Higher zero-shot accuracy in IN-1K 
  
  As usual, try it with the notebook I built for you https://colab.research.google.com/drive/1K7DdCORC3x4qyhwhuB4fT4wcfJ_BQLKw?usp=sharing#scrollTo=0ZS_lJ7SK6Ys
  I also built a Space for you to compare the output probabilities to CLIP, seems that EVACLIP is more "sure" of it's results 😊 https://huggingface.co/spaces/merve/EVACLIP
  The authors have shared 8B checkpoints open with Apache 2.0 license 💜 and it's built on top of transformers, super easy to use! https://huggingface.co/BAAI/EVA-CLIP-8B
  Read the paper https://huggingface.co/papers/2402.04252 📄
reactions.reaction: ❤️
reactions.users: victor osanseviero santiviquez clem AIIAR samusenps danielus boapps qiying