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Chat template docs (#36163)

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* decompose chat template docs

* add docs

* update model docs

* qwen2-5

* pixtral

* remove old chat template

* also video as list frames supported

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/chat_template_multimodal.md

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* remove audio for now

---------

Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
This commit is contained in:
Raushan Turganbay
2025-02-14 10:32:14 +01:00
committed by GitHub
parent 3bf02cf440
commit 1931a35140
14 changed files with 1725 additions and 1470 deletions
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14
docs/source/en/model_doc/mllama.md
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@@ -28,7 +28,8 @@ The Llama 3.2-Vision collection of multimodal large language models (LLMs) is a
- For text-only inputs use `MllamaForCausalLM` for generation to avoid loading vision tower.
- Each sample can contain multiple images, and the number of images can vary between samples. The processor will pad the inputs to the maximum number of images across samples and to a maximum number of tiles within each image.
- The text passed to the processor should have the `"<|image|>"` tokens where the images should be inserted.
- The processor has its own `apply_chat_template` method to convert chat messages to text that can then be passed as text to the processor.
- The processor has its own `apply_chat_template` method to convert chat messages to text that can then be passed as text to the processor. If you're using `transformers>=4.49.0`, you can also get a vectorized output from `apply_chat_template`. See the **Usage Examples** below for more details on how to use it.
<Tip warning={true}>
@@ -53,9 +54,7 @@ model.set_output_embeddings(resized_embeddings)
#### Instruct model
```python
import requests
import torch
from PIL import Image
from transformers import MllamaForConditionalGeneration, AutoProcessor
model_id = "meta-llama/Llama-3.2-11B-Vision-Instruct"
@@ -67,18 +66,13 @@ messages = [
{
"role": "user",
"content": [
{"type": "image"},
{"type": "image", "url": "https://llava-vl.github.io/static/images/view.jpg"},
{"type": "text", "text": "What does the image show?"}
]
}
],
]
text = processor.apply_chat_template(messages, add_generation_prompt=True)
url = "https://llava-vl.github.io/static/images/view.jpg"
image = Image.open(requests.get(url, stream=True).raw)
inputs = processor(text=text, images=image, return_tensors="pt").to(model.device)
inputs = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt").to(model.device)
output = model.generate(**inputs, max_new_tokens=25)
print(processor.decode(output[0]))
```