revert model path to system default

TRANSFORMERS_CACHE
HUGGINGFACE_HUB_CACHE

scripts/dataset_tag_editor/interrogators/blip2_captioning.py

@@ -12,12 +12,8 @@ class BLIP2Captioning:
 
     def load(self):
         if self.model is None or self.processor is None:
-            self.processor = Blip2Processor.from_pretrained(
-                self.MODEL_REPO, cache_dir=paths.model_path
-            )
-            self.model = Blip2ForConditionalGeneration.from_pretrained(
-                self.MODEL_REPO, cache_dir=paths.model_path
-            ).to(devices.device)
+            self.processor = Blip2Processor.from_pretrained(self.MODEL_REPO)
+            self.model = Blip2ForConditionalGeneration.from_pretrained(self.MODEL_REPO).to(devices.device)
 
     def unload(self):
         if not shared.opts.interrogate_keep_models_in_memory:

scripts/dataset_tag_editor/interrogators/git_large_captioning.py

@@ -14,12 +14,8 @@ class GITLargeCaptioning:
 
     def load(self):
         if self.model is None or self.processor is None:
-            self.processor = AutoProcessor.from_pretrained(
-                self.MODEL_REPO, cache_dir=paths.model_path
-            )
-            self.model = AutoModelForCausalLM.from_pretrained(
-                self.MODEL_REPO, cache_dir=paths.model_path
-            ).to(shared.device)
+            self.processor = AutoProcessor.from_pretrained(self.MODEL_REPO)
+            self.model = AutoModelForCausalLM.from_pretrained(self.MODEL_REPO).to(shared.device)
         lowvram.send_everything_to_cpu()
 
     def unload(self):

scripts/dataset_tag_editor/interrogators/waifu_diffusion_tagger.py

@@ -26,7 +26,7 @@ class WaifuDiffusionTagger:
 
         if not self.model:
             path_model = huggingface_hub.hf_hub_download(
-                self.MODEL_REPO, self.MODEL_FILENAME, cache_dir=paths.model_path
+                self.MODEL_REPO, self.MODEL_FILENAME
             )
             if (
                 "all" in shared.cmd_opts.use_cpu