Upload 6 files
Browse files- README.md +39 -0
- bert_config.json +26 -0
- config.json +26 -0
- gitattributes +35 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- zh
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tags:
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- bert
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- classical chinese
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- pytorch
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- text-classification
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library_name: transformers
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widget:
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- text: 我喜欢看电影
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output:
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- label: POSITIVE
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score: 0.8
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- label: NEGATIVE
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score: 0.2
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pipeline_tag: token-classification
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---
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# My Model
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## Model description
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Digital humanities research needs the support of large-scale corpus and high-performance ancient Chinese natural language processing tools.
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## How to use
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```python
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from transformers import AutoTokenizer, AutoModel
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tokenizer = AutoTokenizer.from_pretrained("ziqin/my-model")
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model = AutoModel.from_pretrained("ziqin/my-model")
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```
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## About Us
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We are from Sugon.
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## Other metadata
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library_name: transformers
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widget:
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- text: 我喜欢看电影
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output:
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- label: POSITIVE
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score: 0.8
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- label: NEGATIVE
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score: 0.2
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bert_config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"vocab_size": 29791
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}
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config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"vocab_size": 29791
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}
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gitattributes
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f60aae44c3c07748e671da0c9da5f15cb267169a8342bfe7f126524c3b289ff3
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size 438219059
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vocab.txt
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