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User-VLM-3B-base

Image-Text-to-Text
Transformers
Safetensors
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paligemma
robotics
text-generation-inference
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hamedrahimi commited on
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1 Parent(s): aba7e1f

Update README.md

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README.md CHANGED
@@ -41,7 +41,7 @@ processor = PaliGemmaProcessor.from_pretrained(model_id)
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  model = PaliGemmaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.bfloat16).to(device)
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  def generate_response(question, image, model, processor):
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- prompt = "<image> answer en " + question
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  model_inputs = processor(text=prompt, images=image, return_tensors="pt").to(torch.bfloat16).to(model.device)
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  input_len = model_inputs["input_ids"].shape[-1]
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  model = PaliGemmaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.bfloat16).to(device)
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  def generate_response(question, image, model, processor):
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+ prompt = f"<image> <|im_start|>USER: {question}<|im_end|> ASSISTANT:"
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  model_inputs = processor(text=prompt, images=image, return_tensors="pt").to(torch.bfloat16).to(model.device)
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  input_len = model_inputs["input_ids"].shape[-1]
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