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.gitattributes

@@ -136,3 +136,9 @@ visual/model.armnn filter=lfs diff=lfs merge=lfs -text
 textual/model.armnn filter=lfs diff=lfs merge=lfs -text
 textual/fp16/model.armnn filter=lfs diff=lfs merge=lfs -text
 visual/fp16/model.armnn filter=lfs diff=lfs merge=lfs -text
+textual/rknpu/rk3566/model.rknn filter=lfs diff=lfs merge=lfs -text
+textual/rknpu/rk3576/model.rknn filter=lfs diff=lfs merge=lfs -text
+textual/rknpu/rk3588/model.rknn filter=lfs diff=lfs merge=lfs -text
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+visual/rknpu/rk3576/model.rknn filter=lfs diff=lfs merge=lfs -text
+visual/rknpu/rk3588/model.rknn filter=lfs diff=lfs merge=lfs -text

README.md

@@ -5,7 +5,6 @@ tags:
 ---
 # Model Description
 
-This repo contains ONNX exports for the CLIP model [openai/clip-vit-large-patch14-336](https://huggingface.co/openai/clip-vit-large-patch14-336). 
-It separates the visual and textual encoders into separate models for the purpose of generating image and text embeddings.
+This repo contains ONNX exports for the associated CLIP model by OpenCLIP. See the [OpenCLIP](https://github.com/mlfoundations/open_clip) repo for more info.
 
 This repo is specifically intended for use with [Immich](https://immich.app/), a self-hosted photo library.

textual/model.onnx

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textual/special_tokens_map.json

@@ -9,15 +9,21 @@
   "eos_token": {
     "content": "<|endoftext|>",
     "lstrip": false,
-    "normalized": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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   },
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   }

textual/tokenizer_config.json

@@ -12,17 +12,18 @@
     "49407": {
       "content": "<|endoftext|>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
   "bos_token": "<|startoftext|>",
-  "clean_up_tokenization_spaces": true,
+  "clean_up_tokenization_spaces": false,
   "do_lower_case": true,
   "eos_token": "<|endoftext|>",
   "errors": "replace",
+  "extra_special_tokens": {},
   "model_max_length": 77,
   "pad_token": "<|endoftext|>",
   "tokenizer_class": "CLIPTokenizer",

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