Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
genre
text-genre
Inference Endpoints
TajaKuzman's picture
Update config.json
d31f5f4
{
"_name_or_path": "xlm-roberta-base",
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Other",
"1": "Information/Explanation",
"2": "News",
"3": "Instruction",
"4": "Opinion/Argumentation",
"5": "Forum",
"6": "Prose/Lyrical",
"7": "Legal",
"8": "Promotion"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Other": 0,
"Information/Explanation": 1,
"News": 2,
"Instruction": 3,
"Opinion/Argumentation": 4,
"Forum": 5,
"Prose/Lyrical": 6,
"Legal": 7,
"Promotion": 8
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.20.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}