semvec/pypi-packages huggingface dataset:
llama-index-embeddings-ipex-llm 0.3.0
llama-index embeddings ipex-llm integration
License: MIT
Requires Python: <4.0,>=3.9

# LlamaIndex Embeddings Integration: Ipex_Llm

[IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. This module allows loading Embedding models with ipex-llm optimizations.
llama-index-readers-snscrape-twitter 0.3.0
llama-index readers snscrape_twitter integration
License: MIT
Requires Python: <4.0,>=3.9

# Snscrape twitter Loader

```bash
pip install llama-index-readers-snscrape-twitter
```

This loader loads documents from Twitter using the Snscrape Python package.

## Usage

Here's an example usage of the SnscrapeReader.

```python
import os

from llama_index.readers.snscrape_twitter import SnscrapeTwitterReader

loader = SnscrapeReader()
documents = loader.load_data(username="elonmusk", num_tweets=10)
```

This loader is designed to be used as a way to load data into [LlamaIndex](https://github.com/run-llama/llama_index/).
llama-index-llms-ipex-llm 0.3.0
llama-index llms ipex-llm integration
License: MIT
Requires Python: <3.12,>=3.9

# LlamaIndex Llms Integration: IPEX-LLM

[IPEX-LLM](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max) with very low latency. This module enables the use of LLMs optimized with `ipex-llm` in LlamaIndex pipelines.

## Installation

### On CPU

```bash
pip install llama-index-llms-ipex-llm
```

### On GPU

```bash
pip install llama-index-llms-ipex-llm[xpu] --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
```

## Usage

```python
from llama_index.llms.ipex_llm import IpexLLM
```

## Examples

- [Notebook Example](https://docs.llamaindex.ai/en/stable/examples/llm/ipex_llm/)
- [More Examples](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/llms/llama-index-llms-ipex-llm/examples)