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tiny-random-ReformerForQuestionAnswering

Question Answering
Transformers
PyTorch
reformer
Inference Endpoints
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tiny-random-ReformerForQuestionAnswering
File size: 1,167 Bytes 
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{
  "architectures": [
    "ReformerForQuestionAnswering"
  ],
  "attention_head_size": 64,
  "attn_layers": [
    "local",
    "local",
    "local",
    "local"
  ],
  "axial_norm_std": 1.0,
  "axial_pos_embds": true,
  "axial_pos_embds_dim": [
    16,
    16
  ],
  "axial_pos_shape": [
    4,
    25
  ],
  "chunk_size_lm_head": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "feed_forward_size": 32,
  "hash_seed": 0,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 32,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-12,
  "local_attention_probs_dropout_prob": 0.1,
  "local_attn_chunk_length": 4,
  "local_num_chunks_after": 0,
  "local_num_chunks_before": 1,
  "lsh_attention_probs_dropout_prob": null,
  "lsh_attn_chunk_length": null,
  "lsh_num_chunks_after": null,
  "lsh_num_chunks_before": null,
  "max_position_embeddings": 100,
  "model_type": "reformer",
  "num_attention_heads": 2,
  "num_buckets": null,
  "num_hashes": 1,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.28.0.dev0",
  "use_cache": true,
  "vocab_size": 320
}