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xlm-roberta-large-finetuned-conll03-english
xlm-roberta-large-finetuned-conll03-english
How to use this model directly from the
🤗/transformers library:
tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-large-finetuned-conll03-english") model = AutoModel.from_pretrained("xlm-roberta-large-finetuned-conll03-english")
attention_probs_dropout_prob:
0.1
finetuning_task:
null
hidden_act:
"gelu"
hidden_dropout_prob:
0.1
hidden_size:
1024
id2label:
{
"0": "B-LOC",
"1": "B-MISC",
"2": "B-ORG",
"3": "I-LOC",
"4": "I-MISC",
"5": "I-ORG",
"6": "I-PER",
"7": "O"
}
initializer_range:
0.02
intermediate_size:
4096
is_decoder:
false
label2id:
{
"B-LOC": 0,
"B-MISC": 1,
"B-ORG": 2,
"I-LOC": 3,
"I-MISC": 4,
"I-ORG": 5,
"I-PER": 6,
"O": 7
}
layer_norm_eps:
0.00001
max_position_embeddings:
514
num_attention_heads:
16
num_hidden_layers:
24
num_labels:
8
output_attentions:
false
output_hidden_states:
false
output_past:
true
pruned_heads:
{}
torchscript:
false
type_vocab_size:
1
use_bfloat16:
false
vocab_size:
250002