HiTZ
/

Text2Text Generation
Transformers
PyTorch
mt5
medical
multilingual
medic
Inference Endpoints
Iker commited on
Commit
50c1b68
1 Parent(s): 590ccde

Upload config

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  1. config.json +33 -0
config.json ADDED
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+ {
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+ "_name_or_path": "medT5-xl",
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+ "architectures": [
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+ "MT5ForConditionalGeneration"
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+ ],
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+ "classifier_dropout": 0.0,
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+ "d_ff": 5120,
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+ "d_kv": 64,
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+ "d_model": 2048,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "gelu_new",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 1,
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+ "feed_forward_proj": "gated-gelu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": true,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "mt5",
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+ "num_decoder_layers": 24,
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+ "num_heads": 32,
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+ "num_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "tie_word_embeddings": false,
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+ "tokenizer_class": "T5Tokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.0",
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+ "use_cache": true,
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+ "vocab_size": 250112
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+ }