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openai/clip-vit-large-patch14-336 · Hugging Face
openai/clip-vit-large-patch14-336 · Hugging Face

Can't load the model for 'openai/clip-vit-large-patch14'. · Issue #436 ·  CompVis/stable-diffusion · GitHub
Can't load the model for 'openai/clip-vit-large-patch14'. · Issue #436 · CompVis/stable-diffusion · GitHub

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
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

Scaling vision transformers to 22 billion parameters – Google Research Blog
Scaling vision transformers to 22 billion parameters – Google Research Blog

openai/clip-vit-large-patch14 - Demo - DeepInfra
openai/clip-vit-large-patch14 - Demo - DeepInfra

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
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

Romain Beaumont on X: "@AccountForAI and I trained a better multilingual  encoder aligned with openai clip vit-l/14 image encoder.  https://t.co/xTgpUUWG9Z 1/6 https://t.co/ag1SfCeJJj" / X
Romain Beaumont on X: "@AccountForAI and I trained a better multilingual encoder aligned with openai clip vit-l/14 image encoder. https://t.co/xTgpUUWG9Z 1/6 https://t.co/ag1SfCeJJj" / X

Clip Vit Large Patch14 | Cjwbw | AI model details
Clip Vit Large Patch14 | Cjwbw | AI model details

Reaching 80% zero-shot accuracy with OpenCLIP: ViT-G/14 trained on LAION-2B  | LAION
Reaching 80% zero-shot accuracy with OpenCLIP: ViT-G/14 trained on LAION-2B | LAION

DIME-FM
DIME-FM

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Fermagli per capelli a banana antiscivolo, fermagli per artigli per capelli arenacei a grana grossa per donne e ragazze Capelli spessi e sottili - Temu Italy

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
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

openai/clip-vit-large-patch14 cannot be traced with torch_tensorrt.compile  · Issue #367 · openai/CLIP · GitHub
openai/clip-vit-large-patch14 cannot be traced with torch_tensorrt.compile · Issue #367 · openai/CLIP · GitHub

cjwbw/clip-vit-large-patch14 – Run with an API on Replicate
cjwbw/clip-vit-large-patch14 – Run with an API on Replicate

krthr/clip-embeddings – Run with an API on Replicate
krthr/clip-embeddings – Run with an API on Replicate

Large scale openCLIP: L/14, H/14 and g/14 trained on LAION-2B | LAION
Large scale openCLIP: L/14, H/14 and g/14 trained on LAION-2B | LAION

Building Image search with OpenAI Clip | by Antti Havanko | Medium
Building Image search with OpenAI Clip | by Antti Havanko | Medium

Large Pearl Claw Clip | boohoo
Large Pearl Claw Clip | boohoo

Review — CLIP: Learning Transferable Visual Models From Natural Language  Supervision | by Sik-Ho Tsang | Medium
Review — CLIP: Learning Transferable Visual Models From Natural Language Supervision | by Sik-Ho Tsang | Medium

OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. · Issue  #555 · lllyasviel/ControlNet · GitHub
OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. · Issue #555 · lllyasviel/ControlNet · GitHub

open_clip: Welcome to an open source implementation of OpenAI's CLIP  (Contrastive Language-Image Pre-training).
open_clip: Welcome to an open source implementation of OpenAI's CLIP (Contrastive Language-Image Pre-training).

For developers: OpenAI has released CLIP model ViT-L/14@336p :  r/MediaSynthesis
For developers: OpenAI has released CLIP model ViT-L/14@336p : r/MediaSynthesis

andreasjansson/clip-features – Run with an API on Replicate
andreasjansson/clip-features – Run with an API on Replicate

cjwbw/clip-vit-large-patch14 – Run with an API on Replicate
cjwbw/clip-vit-large-patch14 – Run with an API on Replicate

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