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ItcastAI/bert_cn_finetuning
ItcastAI/bert_cn_finetuning
pytorch
tf
How to use this model directly from the
🤗/transformers library:
tokenizer = AutoTokenizer.from_pretrained("ItcastAI/bert_cn_finetuning") model = AutoModel.from_pretrained("ItcastAI/bert_cn_finetuning")
attention_probs_dropout_prob:
0.1
directionality:
"bidi"
finetuning_task:
"sst-2"
hidden_act:
"gelu"
hidden_dropout_prob:
0.1
hidden_size:
768
id2label:
{
"0": "LABEL_0",
"1": "LABEL_1"
}
initializer_range:
0.02
intermediate_size:
3072
is_decoder:
false
label2id:
{
"LABEL_0": 0,
"LABEL_1": 1
}
layer_norm_eps:
1e-12
max_position_embeddings:
512
num_attention_heads:
12
num_hidden_layers:
12
num_labels:
2
output_attentions:
false
output_hidden_states:
false
output_past:
true
pooler_fc_size:
768
pooler_num_attention_heads:
12
pooler_num_fc_layers:
3
pooler_size_per_head:
128
pooler_type:
"first_token_transform"
pruned_heads:
{}
torchscript:
false
type_vocab_size:
2
use_bfloat16:
false
vocab_size:
21128