feat: "Female", "Sports", "Literature", "Campus" 4 Classification Model。

README.md

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+---
+language: zh
+tags:
+- exbert
+license: apache-2.0
+widget:
+- text: "女人做得越纯粹，皮肤和身材就越好"
+- text: "我喜欢篮球"
+---
+
+# liam168/c4-zh-distilbert-base-uncased
+
+## Model description
+
+用 ["女性","体育","文学","校园"]4类数据训练的分类模型。
+
+## Overview
+
+- **Language model**: DistilBERT
+- **Model size**: 280M 
+- **Language**: Chinese
+
+## Example
+
+```python
+>>> from transformers import DistilBertForSequenceClassification , AutoTokenizer, pipeline
+
+>>> model_name = "liam168/c4-zh-distilbert-base-uncased"
+>>> class_num = 4
+>>> ts_texts = ["女人做得越纯粹，皮肤和身材就越好", "我喜欢篮球"]
+>>> model = DistilBertForSequenceClassification.from_pretrained(model_name, num_labels=class_num)
+>>> tokenizer = AutoTokenizer.from_pretrained(model_name)
+>>> classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
+>>> classifier(ts_texts[0])
+>>> classifier(ts_texts[1])
+
+[{'label': 'Female', 'score': 0.9137857556343079}]
+[{'label': 'Sports', 'score': 0.8206522464752197}]
+
+```

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Female",
+    "1": "Sports",
+    "2": "Literature",
+    "3": "Campus"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Female": 0,
+    "Sports": 1,
+    "Literature": 2,
+    "Campus": 3
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.9.0.dev0",
+  "vocab_size": 30522
+}

pytorch_model.bin

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+oid sha256:d599efd3f01521d7c4e278d0c6e8939cd2e882c595275d4e310f07a3039b4857
+size 267866225

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}