init

local_coh_ppl.py

@@ -130,12 +130,12 @@ class LocalCohPPL(evaluate.Measurement):
 
     ## PEDICTIONS: [str] sentences joined by "\n"
     def _compute(self, predictions, model_id, batch_size: int = 16, add_start_token: bool = True, device=None):
-    	MODEL_CACHE_DIR = "/home/rcardena/.cache/huggingface/"
-		if getpass.getuser() == "s1987051":
-	        MODEL_CACHE_DIR="/disk/ocean/rcardenas/tools/huggingface/"
-	    elif getpass.getuser() == "rcardena"::
-	        MODEL_CACHE_DIR="/gfs/team/nlp/users/rcardena/tools/huggingface/"
-	  
+        MODEL_CACHE_DIR = "/home/rcardena/.cache/huggingface/"
+        if getpass.getuser() == "s1987051":
+            MODEL_CACHE_DIR="/disk/ocean/rcardenas/tools/huggingface/"
+        elif getpass.getuser() == "rcardena"::
+            MODEL_CACHE_DIR="/gfs/team/nlp/users/rcardena/tools/huggingface/"
+      
         if device is not None:
             assert device in ["gpu", "cpu", "cuda"], "device should be either gpu or cpu."
             if device == "gpu":