upload torchscript model and config json

This adds the TCGA LUAD lung adenocarcinoma classification model as a torchscript model.

```python
import torch
import wsinfer

w = wsinfer.get_model_weights('resnet34', 'TCGA-LUAD-v1')
model = w.load_model()
c = torch.jit.script(model, example_inputs=[(torch.ones(1, 3, w.transform.resize_size, w.transform.resize_size),)])
torch.jit.save(c, root / w.url_file_name)
```

config.json

@@ -0,0 +1,26 @@
+{
+    "num_classes": 6,
+    "transform": {
+        "resize_size": 224,
+        "mean": [
+            0.8301,
+            0.66,
+            0.8054
+        ],
+        "std": [
+            0.0864,
+            0.1602,
+            0.0647
+        ]
+    },
+    "patch_size_pixels": 350,
+    "spacing_um_px": 0.5,
+    "class_names": [
+        "lepidic",
+        "benign",
+        "acinar",
+        "micropapillary",
+        "mucinous",
+        "solid"
+    ],
+}

torchscript_model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2cafd815a4bfc970c1b423a6c8e1f817f7dc18fc8261774d18aac4d2ed29360
+size 85352028