files

.gitattributes

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app.py

@@ -4,7 +4,7 @@ import gradio as gr
 import requests
 from transformers import CLIPProcessor, CLIPModel, pipeline, BlipProcessor, BlipForConditionalGeneration
 
-model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
+model = CLIPModel.from_pretrained("model")
 processor = CLIPProcessor.from_pretrained("tokenizer")
 vqa_pipeline = pipeline("visual-question-answering")
 

model/alphabet.txt

@@ -0,0 +1 @@
+{"labels": ["", "<s>", "</s>", "⁇", " ", "'", "-", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "á", "é", "í", "ñ", "ó", "ö", "ú", "ü"], "is_bpe": false}

model/model.safetensors

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+size 605156676

model/pytorch_model.bin

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model/special_tokens_map.txt

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}

model/vocab.txt

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+{"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "'": 5, "-": 6, "a": 7, "b": 8, "c": 9, "d": 10, "e": 11, "f": 12, "g": 13, "h": 14, "i": 15, "j": 16, "k": 17, "l": 18, "m": 19, "n": 20, "o": 21, "p": 22, "q": 23, "r": 24, "s": 25, "t": 26, "u": 27, "v": 28, "w": 29, "x": 30, "y": 31, "z": 32, "á": 33, "é": 34, "í": 35, "ñ": 36, "ó": 37, "ö": 38, "ú": 39, "ü": 40}