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pdf_postprocessor_t5

Token Classification
Transformers
PyTorch
t5
text-generation-inference
Inference Endpoints
Model card Files Community
pdf_postprocessor_t5
File size: 1,183 Bytes 
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{
  "_name_or_path": "pdf_postprocessor",
  "architectures": [
    "WeightedT5EncoderForTokenClassification"
  ],
  "classifier_dropout": 0.0,
  "d_ff": 3584,
  "d_kv": 64,
  "d_model": 1472,
  "decoder_start_token_id": 0,
  "dense_act_fn": "gelu_new",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "gated-gelu",
  "gradient_checkpointing": false,
  "id2label": {
    "0": "equal",
    "1": "delete",
    "2": "newline-1",
    "3": "space-1"
  },
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": true,
  "label2id": {
    "delete": 1,
    "equal": 0,
    "newline-1": 2,
    "space-1": 3
  },
  "label_weights": [
    1.0,
    5.0,
    30.0,
    20.0
  ],
  "layer_norm_epsilon": 1e-06,
  "max_sequence_length": 4096,
  "model_type": "t5",
  "num_decoder_layers": 4,
  "num_heads": 6,
  "num_layers": 12,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "relative_attention_max_distance": 128,
  "relative_attention_num_buckets": 32,
  "tie_word_embeddings": false,
  "tokenizer_class": "ByT5Tokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.34.0",
  "use_cache": true,
  "vocab_size": 384
}