Transformers
PyTorch
clip
Inference Endpoints
File size: 744 Bytes
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{
  "_name_or_path": "./hf/nllb-clip-large",
  "architectures": [
    "NLLBCLIPModel"
  ],
  "initializer_factor": 1.0,
  "logit_scale_init_value": 2.6592,
  "model_type": "clip",
  "projection_dim": 512,
  "text_config": {
    "encoder_ffn_dim": 8192,
    "encoder_layerdrop": 0,
    "encoder_layers": 24,
    "model_type": "clip_text_model",
    "num_hidden_layers": 24,
    "vocab_size": 256206
  },
  "torch_dtype": "float32",
  "transformers_version": "4.33.1",
  "vision_config": {
    "dropout": 0.0,
    "hidden_act": "gelu",
    "hidden_size": 1280,
    "intermediate_size": 5120,
    "model_type": "clip_vision_model",
    "num_attention_heads": 16,
    "num_hidden_layers": 32,
    "patch_size": 14,
    "projection_dim": 1024
  }
}