Feature Extraction
Transformers
PyTorch
Safetensors
canine
Inference Endpoints
File size: 698 Bytes
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{
  "architectures": [
    "CanineModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 57344,
  "downsampling_rate": 4,
  "eos_token_id": 57345,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-12,
  "local_transformer_stride": 128,
  "max_position_embeddings": 16384,
  "model_type": "canine",
  "num_attention_heads": 12,
  "num_hash_buckets": 16384,
  "num_hash_functions": 8,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "torch_dtype": "float32",
  "transformers_version": "4.9.0.dev0",
  "type_vocab_size": 16,
  "upsampling_kernel_size": 4,
  "use_cache": true
}