update for chat template
Browse files
README.md
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@@ -151,6 +151,24 @@ conversation = [
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```
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### Model optimization
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]
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```
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-----------
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From transformers>=v4.48, you can also pass image url or local path to the conversation history, and let the chat template handle the rest.
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Chat template will load the image for you and return inputs in `torch.Tensor` which you can pass directly to `model.generate()`
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```python
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messages = [
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{
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"role": "user",
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"content": [
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{"type": "image", "url": "https://www.ilankelman.org/stopsigns/australia.jpg"}
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{"type": "text", "text": "What is shown in this image?"},
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],
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},
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]
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inputs = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors"pt")
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output = model.generate(**inputs, max_new_tokens=50)
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```
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### Model optimization
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