Text2Text Generation
Transformers
PyTorch
English
t5
text-generation-inference
Inference Endpoints
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{
  "_name_or_path": "google/t5-xl-lm-adapt",
  "architectures": [
    "T5ForConditionalGeneration"
  ],
  "d_ff": 5120,
  "d_kv": 64,
  "d_model": 2048,
  "decoder_start_token_id": 0,
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "gated-gelu",
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "num_decoder_layers": 24,
  "num_heads": 32,
  "num_layers": 24,
  "output_past": true,
  "pad_token_id": 0,
  "relative_attention_num_buckets": 32,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.17.0.dev0",
  "use_cache": true,
  "vocab_size": 32100
}