Push model using huggingface_hub.

README.md

@@ -38,7 +38,7 @@ Data is prepared with the `ocf_datapipes.training.pvnet` datapipe [2].
 
 ## Results
 
-The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet2.1/runs/7r9847yo).
+The training logs for the current model can be found [here on wandb](https://wandb.ai/openclimatefix/pvnet2.1/runs/None).
 
 The training logs for all model runs of PVNet2 can be found [here](https://wandb.ai/openclimatefix/pvnet2.1).
 

config.json

@@ -1,6 +1,14 @@
 {
     "_target_": "pvnet.models.multimodal.multimodal.Model",
-    "output_quantiles": null,
+    "output_quantiles": [
+        0.02,
+        0.1,
+        0.25,
+        0.5,
+        0.75,
+        0.9,
+        0.98
+    ],
     "image_encoder": {
         "_target_": "pvnet.models.multimodal.encoders.encoders3d.DefaultPVNet",
         "_partial_": true
@@ -29,7 +37,7 @@
     },
     "embedding_dim": 16,
     "include_sun": true,
-    "include_gsp_yield_history": true,
+    "include_gsp_yield_history": false,
     "forecast_minutes": 480,
     "history_minutes": 120,
     "sat_history_minutes": 90,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8fba2d39e62c36dbf8507910bcc46f996547fb8a0eb946724b0e0c0423052e2
-size 46531585
+oid sha256:be7751ba901d23f35d4c25127d42783c00bc3ab206d5fba8723774afe0333d02
+size 46579073