初始化项目，由ModelHub XC社区提供模型

Model: DUOMO-Lab/TransGPT-v0
Source: Original Platform

README.md

@@ -0,0 +1,146 @@
+---
+title: TransGPT-7b
+emoji: 📚
+colorFrom: gray
+colorTo: red
+language: 
+- zh
+tags:
+- chatglm
+- pytorch
+- zh
+- Text2Text-Generation
+license: "other"
+widget:
+- text: "我想了解如何申请和更新驾驶证？"
+---
+
+# TransGPT
+
+**发布中文TransGPT（7B）模型**
+
+test case:
+|input_text|predict|
+|:-- |:--- |
+|我想了解如何申请和更新驾驶证？|你可以到当地的交通管理部门或者公安局办理相关手续。具体流程可以在官方网站上查询。|
+
+
+# 文件校验
+```
+md5sum ./*
+```
+```
+e618653f90f163928316858e95bd54d1  ./config.json
+b1eb3650cbc84466fed263a9f0dff5e2  ./generation_config.json
+570159d90b39554713e9702b9107928a  ./pytorch_model-00001-of-00002.bin
+8788671a726d25b192134909fb825e0b  ./pytorch_model-00002-of-00002.bin
+604e0ba32b2cb7df8d8a3d13bddc93fe  ./pytorch_model.bin.index.json
+413c7f9a8a6517c52c937eed27f18847  ./special_tokens_map.json
+2ba2be903e87d7471bbc413e041e70e8  ./tokenizer_config.json
+39afcc4541e7931ef0d561ac6e216586  ./tokenizer.model
+```
+## Usage
+
+First, you pass your input through the transformer model, then you get the generated sentence.
+
+Install package:
+```
+pip install sentencepiece
+pip install transformers>=4.28.0
+```
+
+```python
+import torch
+import transformers
+from transformers import LlamaTokenizer, LlamaForCausalLM
+
+def generate_prompt(text):
+    return f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{text}
+
+### Response:"""
+
+checkpoint="DUOMO-Lab/TransGPT-v0"
+tokenizer = LlamaTokenizer.from_pretrained(checkpoint)
+model = LlamaForCausalLM.from_pretrained(checkpoint).half().cuda()
+model.eval()
+
+text = '我想了解如何申请和更新驾驶证？'
+prompt = generate_prompt(text)
+input_ids = tokenizer.encode(prompt, return_tensors='pt').to('cuda')
+
+
+with torch.no_grad():
+    output_ids = model.generate(
+        input_ids=input_ids,
+        max_new_tokens=1024,
+        temperature=1,
+        top_k=20,
+        top_p=0.9,
+        repetition_penalty=1.15
+    ).cuda()
+
+
+output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+print(output.replace(text, '').strip())
+```
+
+
+output:
+```shell
+我想了解如何申请和更新驾驶证？
+```
+
+## 模型来源
+release合并后的模型权重。
+
+HuggingFace版本权重（.bin文件）可用于：
+- 使用Transformers进行训练和推理
+- 使用text-generation-webui搭建界面
+
+PyTorch版本权重（.pth文件）可用于：
+- 使用llama.cpp工具进行量化和部署
+
+
+
+模型文件组成：
+```
+TransGPT
+    config.json
+    generation_config.json
+    pytorch_model-00001-of-00002.bin
+    pytorch_model-00002-of-00002.bin
+    pytorch_model.bin.index.json
+    special_tokens_map.json
+    tokenizer.json
+    tokenizer.model
+    tokenizer_config.json
+```
+
+硬件要求：14G显存
+
+### 微调数据集
+
+1. ～34.6万条文本数据集（用于领域内预训练）：[DUOMO-Lab/TransGPT-pt](https://huggingface.co/datasets/DUOMO-Lab/TransGPT-pt)
+2. ～5.6万条对话数据（用于微调）:[finetune_data](https://huggingface.co/data/finetune)
+
+
+如果需要训练LLaMA模型，请参考[https://github.com/DUOMO/TransGPT](https://github.com/DUOMO/TransGPT)
+
+
+## Citation
+
+```latex
+@software{TransGPT,
+  author = {Wang Peng},
+  title = {DUOMO/TransGPT},
+  year = {2023},
+  url = {https://github.com/DUOMO/TransGPT},
+}
+```
+
+
+## Reference
+- https://github.com/shibing624/textgen