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We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and straightforward to train and scale effectively. Some AIMv2 highlights include:
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We introduce the AIMv2 family of vision models pre-trained with a multimodal autoregressive objective. AIMv2 pre-training is simple and straightforward to train and scale effectively. Some AIMv2 highlights include:
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1 fuenteVerificado 9 sept
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5 artefactosExtractos de fuentes
2 extractosmodel-00001-of-00003.safetensors
safetensors · 4,57 GB · SHA-256 dd819ea84275…058e · Hugging Face
model-00002-of-00003.safetensors
safetensors · 4,64 GB · SHA-256 5fbcf46425d1…1bde · Hugging Face
Descargarmodel-00003-of-00003.safetensors
safetensors · 960 MB · SHA-256 d480a95d8c05…daab · Hugging Face
Descargar--- library_name: transformers license: apple-amlr metrics: - accuracy pipeline_tag: image-feature-extraction tags: - vision - image-feature-extraction - mlx - pytorch model-index: - name: aimv2-3B-patch14-448 results: - task: type: classification name: Classification dataset: name: imagenet-1k type: imagenet-1k metrics: - type: accuracy value: 89.5 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: inaturalist-18 type: inaturalist-18 metrics: - type: accuracy value: 85.9 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: cifar10 type: cifar10 metrics: - type: accuracy value: 99.5 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: cifar100 type: cifar100 metrics: - type: accuracy value: 94.5 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: food101 type: food101 metrics: - type: accuracy value: 97.4 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: dtd type: dtd metrics: - type: accuracy value: 89.0 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: oxford-pets type: oxford-pets metrics: - type: accuracy value: 97.4 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: stanford-cars type: stanford-cars metrics: - type: accuracy value: 96.7 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: camelyon17 type: camelyon17 metrics: - type: accuracy value: 93.4 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: patch-camelyon type: patch-camelyon metrics: - type: accuracy value: 89.9 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: rxrx1 type: rxrx1 metrics: - type: accuracy value: 9.5 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: eurosat type: eurosat metrics: - type: accuracy value: 98.9 name: Accuracy verified: false - task: type: classification name: Classification dataset: name: fmow type: fmow metrics: - type: accuracy value:...
Source context: 394 downloads · 15 likes · Pipeline image-feature-extraction · Library transformers · Repo apple/aimv2-3B-patch14-448
