add fastnlp_tutorial_1 lxr 220503

tutorials/fastnlp_tutorial_0.ipynb

@@ -136,7 +136,7 @@
     "在`fastNLP 0.8`中，使用`pytorch.nn.Module`搭建需要训练的模型，在搭建模型过程中，除了\n",
     "\n",
     "  添加`pytorch`要求的`forward`方法外，还需要添加 **`train_step`** 和 **`evaluate_step`** 这两个方法\n",
-    "***\n",
+    "\n",
     "```python\n",
     "class Model(torch.nn.Module):\n",
     "    def __init__(self):\n",
@@ -177,9 +177,7 @@
     "\n",
     "  从模块角度，该字典的键值和`metric`中的`update`函数的签名一致，这样的机制在传参时被称为“**参数匹配**”\n",
     "\n",
-    "***\n",
-    "\n",
-    "![fastNLP 0.8 中，Trainer 和 Evaluator 的关系图](./figures/T0-fig-trainer-and-evaluator.png)"
+    "<img src=\"./figures/T0-fig-trainer-and-evaluator.png\" width=\"80%\" height=\"80%\" align=\"center\"></img>"
    ]
   },
   {
@@ -206,7 +204,7 @@
     "&emsp; 而在`Trainer`和`Evaluator`中的参数`model_wo_auto_param_call`被设置为`True`时\n",
     "\n",
     "&emsp; &emsp; `fastNLP 0.8`会将`batch`直接传给模型的`train_step`、`evaluate_step`或`forward`函数\n",
-    "***\n",
+    "\n",
     "```python\n",
     "class Dataset(torch.utils.data.Dataset):\n",
     "    def __init__(self, x, y):\n",
@@ -253,7 +251,7 @@
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    "metadata": {
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+     "is_executing": true
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    "outputs": [],
@@ -641,11 +639,11 @@
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