Video Classification
MLX
Safetensors
video
vjepa2
world-model
action-conditioned
robotics
apple-silicon
Instructions to use mlx-community/V-JEPA2-AC-vitg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/V-JEPA2-AC-vitg with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir V-JEPA2-AC-vitg mlx-community/V-JEPA2-AC-vitg
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 524 Bytes
946f1f5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"hidden_size": 1408,
"num_hidden_layers": 40,
"num_attention_heads": 22,
"mlp_ratio": 4.363636363636363,
"patch_size": 16,
"tubelet_size": 2,
"crop_size": 256,
"frames_per_clip": 64,
"in_chans": 3,
"hidden_act": "gelu",
"layer_norm_eps": 1e-06,
"qkv_bias": true,
"pred_hidden_size": 384,
"pred_num_hidden_layers": 12,
"pred_num_attention_heads": 12,
"pred_mlp_ratio": 4.0,
"pred_num_mask_tokens": 10,
"num_pooler_layers": 3,
"num_labels": 174,
"hf_repo": "facebook/vjepa2-ac-vitg"
} |