Building Image search with OpenAI Clip | by Antti Havanko | Medium
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OFA-Sys/chinese-clip-vit-large-patch14-336px · Hugging Face
openai/clip-vit-base-patch32 · Hugging Face
Review — CLIP: Learning Transferable Visual Models From Natural Language Supervision | by Sik-Ho Tsang | Medium
DIME-FM
CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet – arXiv Vanity
Large scale openCLIP: L/14, H/14 and g/14 trained on LAION-2B | LAION
Mastering the Huggingface CLIP Model: How to Extract Embeddings and Calculate Similarity for Text and Images | Code and Life
Frozen CLIP Models are Efficient Video Learners | Papers With Code
openai/clip-vit-large-patch14 cannot be traced with torch_tensorrt.compile · Issue #367 · openai/CLIP · GitHub
Can't load tokenizer for 'openai/clip-vit-large-patch14' · Issue #659 · CompVis/stable-diffusion · GitHub
bug】Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel · Issue #273 · kohya-ss/sd-scripts · GitHub
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. · Issue #555 · lllyasviel/ControlNet · GitHub
Aran Komatsuzaki on X: "+ our own CLIP ViT-B/32 model trained on LAION-400M that matches the performance of OpenaI's CLIP ViT-B/32 (as a taste of much bigger CLIP models to come). search
Can't load the model for 'openai/clip-vit-large-patch14'. · Issue #436 · CompVis/stable-diffusion · GitHub
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Stable diffusion using Hugging Face | by Aayush Agrawal | Towards Data Science
LAION on X: "We release a new ViT-G/14 CLIP model with OpenCLIP which achieves 80.1% zero-shot accuracy on ImageNet and 74.9% zero-shot image retrieval (Recall@5) on MS COCO. As of January 2023,
RuCLIP -- new models and experiments: a technical report – arXiv Vanity
andreasjansson/clip-features – Run with an API on Replicate
Clip Vit Large Patch14 | Cjwbw | AI model details
krthr/clip-embeddings – Run with an API on Replicate
openai/clip-vit-large-patch14-336 · Hugging Face
Reaching 80% zero-shot accuracy with OpenCLIP: ViT-G/14 trained on LAION-2B | LAION
