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Update README.md

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  1. README.md +1 -13
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@@ -53,6 +53,7 @@ with torch.no_grad(), torch.cuda.amp.autocast():
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  text_probs = (100.0 * image_features @ text_features.T).softmax(dim=-1)
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  print("Label probs:", text_probs)
 
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  ```
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  ### Transformers.js
@@ -86,12 +87,6 @@ const text_inputs = tokenizer(texts, { padding: 'max_length', truncation: true }
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  // Compute text embeddings
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  const { text_embeds } = await text_model(text_inputs);
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- // Tensor {
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- // dims: [ 2, 512 ],
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- // type: 'float32',
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- // data: Float32Array(1024) [ ... ],
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- // size: 1024
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- // }
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  // Read image and run processor
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  const image = await RawImage.read('https://raw.githubusercontent.com/marqo-ai/marqo-FashionCLIP/main/docs/fashion-hippo.png');
@@ -99,13 +94,6 @@ const image_inputs = await processor(image);
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  // Compute vision embeddings
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  const { image_embeds } = await vision_model(image_inputs);
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- // Tensor {
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- // dims: [ 1, 512 ],
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- // type: 'float32',
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- // data: Float32Array(512) [ ... ],
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- // size: 512
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- // }
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-
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  // Compute similarity scores
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  const normalized_text_embeds = text_embeds.normalize().tolist();
 
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  text_probs = (100.0 * image_features @ text_features.T).softmax(dim=-1)
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  print("Label probs:", text_probs)
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+ # [0.9998498302475922, 0.000119267522939106, 0.000030902229468640687]
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  ```
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  ### Transformers.js
 
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  // Compute text embeddings
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  const { text_embeds } = await text_model(text_inputs);
 
 
 
 
 
 
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  // Read image and run processor
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  const image = await RawImage.read('https://raw.githubusercontent.com/marqo-ai/marqo-FashionCLIP/main/docs/fashion-hippo.png');
 
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  // Compute vision embeddings
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  const { image_embeds } = await vision_model(image_inputs);
 
 
 
 
 
 
 
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  // Compute similarity scores
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  const normalized_text_embeds = text_embeds.normalize().tolist();