moranyanuka
/

blip-image-captioning-base-mocha

image-text-to-text

Inference Endpoints

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moranyanuka commited on Dec 21, 2023

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1 Parent(s): cdf1289

Update README.md

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@@ -23,7 +23,7 @@ import requests
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
-processor = BlipProcessor.from_pretrained(""Salesforce/blip-image-captioning-base"")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
@@ -56,7 +56,7 @@ import requests
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha").to("cuda")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
@@ -88,7 +88,7 @@ import requests
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha", torch_dtype=torch.float16).to("cuda")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'

 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
+processor = BlipProcessor.from_pretrained(""moranyanuka/blip-image-captioning-base-mocha"")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
+processor = BlipProcessor.from_pretrained("moranyanuka/blip-image-captioning-base-mocha")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha").to("cuda")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'
 from PIL import Image
 from transformers import BlipProcessor, BlipForConditionalGeneration
+processor = BlipProcessor.from_pretrained("moranyanuka/blip-image-captioning-base-mocha")
 model = BlipForConditionalGeneration.from_pretrained("moranyanuka/blip-image-captioning-base-mocha", torch_dtype=torch.float16).to("cuda")
 img_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/demo.jpg'