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.gitattributes

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README.md

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+---
+title: Text Classification
+emoji: 🌍
+colorFrom: gray
+colorTo: yellow
+sdk: gradio
+sdk_version: 4.24.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import string
+import gradio as gr
+import requests
+import torch
+from transformers import (
+    AutoConfig,
+    AutoModelForSequenceClassification,
+    AutoTokenizer,
+)
+
+model_dir = "model"
+
+config = AutoConfig.from_pretrained(model_dir, num_labels=3, finetuning_task="text-classification")
+tokenizer = AutoTokenizer.from_pretrained(model_dir)
+bert_model = AutoModelForSequenceClassification.from_pretrained(model_dir, config=config)
+
+def inference(input_text):
+    inputs = tokenizer.batch_encode_plus(
+                [input_text],
+                max_length=512,
+                pad_to_max_length=True,
+                truncation=True,
+                padding="max_length",
+                return_tensors="pt",
+            )
+
+    with torch.no_grad():
+        logits = bert_model(**inputs).logits
+
+    predicted_class_id = logits.argmax().item()
+    output = bert_model.config.id2label[predicted_class_id]
+    return output
+
+demo = gr.Interface(
+    fn=inference,
+    inputs=gr.Textbox(label="输入文本", scale=2, container=False),
+    outputs=gr.Textbox(label="输出标签"),
+    examples = [
+        ["My last two weather pics from the storm on August 2nd. People packed up real fast after the temp dropped and winds picked up.", 1],
+        ["Lying Clinton sinking! Donald Trump singing: Let's Make America Great Again!", 0],
+        ],
+    title="文本分类",
+    )
+
+demo.launch(debug=True)

model/config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "text-classification",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "1",
+    "2": "None"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "None": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8a5dc7efa60ffa16c5bbeb8fe131aabe24540495290ab99d45f7a6292e073d03
+size 437961724

model/special_tokens_map.json

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

model/tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

requirements.txt

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+transformers==4.30.2
+torch==2.0.0