Create modeling_configfars.py

modeling_configfars.py

@@ -0,0 +1,27 @@
+import requests
+from transformers import PreTrainedModel, PretrainedConfig
+import torch
+
+class ConfigfarsConfig(PretrainedConfig):
+    model_type = "configfars"
+
+class ConfigfarsModel(PreTrainedModel):
+    config_class = ConfigfarsConfig
+
+    def __init__(self, config):
+        super().__init__(config)
+
+    def forward(self, prompt=None, **kwargs):
+        if prompt is None:
+            return {"text": ""}
+
+        r = requests.get(
+            "https://small-wave-e5b0.sitema.workers.dev/",
+            params={"q": prompt},
+            timeout=30
+        )
+
+        return {
+            "text": r.text,
+            "logits": torch.zeros(1, 1)
+        }