Text2Text Generation
Transformers
PyTorch
Spanish
led
text-generation-inference
Inference Endpoints
led-base-16384-spanish / config.json
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{
"_name_or_path": "vgaraujov/bart-base-spanish",
"activation_dropout": 0.1,
"activation_function": "gelu",
"architectures": [
"LEDForConditionalGeneration"
],
"attention_dropout": 0.1,
"attention_window": [
1024,
1024,
1024,
1024,
1024,
1024
],
"bos_token_id": 0,
"classifier_dropout": 0.1,
"d_model": 768,
"decoder_attention_heads": 12,
"decoder_ffn_dim": 3072,
"decoder_layerdrop": 0.0,
"decoder_layers": 6,
"decoder_start_token_id": 2,
"dropout": 0.1,
"encoder_attention_heads": 12,
"encoder_ffn_dim": 3072,
"encoder_layerdrop": 0.0,
"encoder_layers": 6,
"eos_token_id": 2,
"forced_bos_token_id": 0,
"forced_eos_token_id": 2,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"init_std": 0.02,
"is_encoder_decoder": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"max_decoder_position_embeddings": 1024,
"max_encoder_position_embeddings": 16384,
"model_type": "led",
"no_repeat_ngram_size": 3,
"num_beams": 4,
"num_hidden_layers": 6,
"pad_token_id": 1,
"scale_embedding": false,
"torch_dtype": "float32",
"transformers_version": "4.28.1",
"use_cache": true,
"vocab_size": 50264
}