LlamaIndex Multi_Modal_Llms Integration: Huggingface (#16133)

llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-huggingface/BUILD

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+poetry_requirements(
+    name="poetry",
+)

llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-huggingface/Makefile

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+GIT_ROOT ?= $(shell git rev-parse --show-toplevel)
+
+help:	## Show all Makefile targets.
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}'
+
+format:	## Run code autoformatters (black).
+	pre-commit install
+	git ls-files | xargs pre-commit run black --files
+
+lint:	## Run linters: pre-commit (black, ruff, codespell) and mypy
+	pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files
+
+test:	## Run tests via pytest.
+	pytest tests
+
+watch-docs:	## Build and watch documentation.
+	sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/

llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-huggingface/README.md

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+# LlamaIndex Multi_Modal_Llms Integration: Huggingface
+
+This project integrates Hugging Face's multimodal language models into the LlamaIndex framework, enabling advanced multimodal capabilities for various AI applications.
+
+## Features
+
+- Seamless integration of Hugging Face multimodal models with LlamaIndex
+- Support for multiple state-of-the-art vision-language models and their **finetunes**:
+  - [Qwen2 Vision](https://huggingface.co/collections/Qwen/qwen2-vl-66cee7455501d7126940800d)
+  - [Florence2](https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de)
+  - [Phi-3.5 Vision](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
+  - [PaLI-Gemma](https://huggingface.co/collections/google/paligemma-release-6643a9ffbf57de2ae0448dda)
+- Easy-to-use interface for multimodal tasks like image captioning and visual question answering
+- Configurable model parameters for fine-tuned performance
+
+---
+
+## Author of that Integration [GitHub](https://github.com/g-hano) | [LinkedIn](https://www.linkedin.com/in/chanyalcin/) | [Email]([email protected])
+
+## Installation
+
+```bash
+pip install llama-index-multi-modal-llms-huggingface
+```
+
+Make sure to set your Hugging Face API token as an environment variable:
+
+```bash
+export HF_TOKEN=your_huggingface_token_here
+```
+
+## Usage
+
+Here's a basic example of how to use the Hugging Face multimodal integration:
+
+```python
+from llama_index.multi_modal_llms.huggingface import HuggingFaceMultiModal
+from llama_index.schema import ImageDocument
+
+# Initialize the model
+model = HuggingFaceMultiModal.from_model_name("Qwen/Qwen2-VL-2B-Instruct")
+
+# Prepare your image and prompt
+image_document = ImageDocument(image_path="path/to/your/image.jpg")
+prompt = "Describe this image in detail."
+
+# Generate a response
+response = model.complete(prompt, image_documents=[image_document])
+
+print(response.text)
+```
+
+You can also refer to this [Colab notebook](examples\huggingface_multimodal.ipynb)
+
+## Supported Models
+
+1. Qwen2VisionMultiModal
+2. Florence2MultiModal
+3. Phi35VisionMultiModal
+4. PaliGemmaMultiModal
+
+Each model has its unique capabilities and can be selected based on your specific use case.
+
+## Configuration
+
+You can configure various parameters when initializing a model:
+
+```python
+model = HuggingFaceMultiModal(
+    model_name="Qwen/Qwen2-VL-2B-Instruct",
+    device="cuda",  # or "cpu"
+    torch_dtype=torch.float16,
+    max_new_tokens=100,
+    temperature=0.7,
+)
+```
+
+## Limitations
+
+- Async streaming is not supported for any of the models.
+- Some models have specific requirements or limitations. Please refer to the individual model classes for details.
+
+---
+
+## Author of that Integration [GitHub](https://github.com/g-hano) | [LinkedIn](https://www.linkedin.com/in/chanyalcin/) | [Email]([email protected])

llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-huggingface/llama_index/multi_modal_llms/huggingface/BUILD

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+python_sources()

llama-index-integrations/multi_modal_llms/llama-index-multi-modal-llms-huggingface/llama_index/multi_modal_llms/huggingface/__init__.py

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+from llama_index.multi_modal_llms.huggingface.base import HuggingFaceMultiModal
+
+__all__ = ["HuggingFaceMultiModal"]