Bump @xenova/transformers from 2.14.2 to 2.15.0

[dependabot[bot]]

Bumps @xenova/transformers from 2.14.2 to 2.15.0.

Release notes

Sourced from @​xenova/transformers's releases.

2.15.0

What's new?

🤖 Qwen1.5 Chat models (0.5B and 1.8B)

Yesterday, the Qwen team (Alibaba Group) released the Qwen1.5 series of chat models. As part of the release, they published several sub-2B-parameter models, including Qwen/Qwen1.5-0.5B-Chat and Qwen/Qwen1.5-1.8B-Chat, which both demonstrate strong performance despite their small sizes. The best part? They can run in the browser with Transformers.js (PR)! 🚀 See here for the full list of supported models.

Example: Text generation with Xenova/Qwen1.5-0.5B-Chat.

import { pipeline } from '@xenova/transformers';
// Create text-generation pipeline
const generator = await pipeline('text-generation', 'Xenova/Qwen1.5-0.5B-Chat');
// Define the prompt and list of messages
const prompt = "Give me a short introduction to large language model."
const messages = [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": prompt }
]
// Apply chat template
const text = generator.tokenizer.apply_chat_template(messages, {
tokenize: false,
add_generation_prompt: true,
});
// Generate text
const output = await generator(text, {
max_new_tokens: 128,
do_sample: false,
});
console.log(output[0].generated_text);
// 'A large language model is a type of artificial intelligence system that can generate text based on the input provided by users, such as books, articles, or websites. It uses advanced algorithms and techniques to learn from vast amounts of data and improve its performance over time through machine learning and natural language processing (NLP). Large language models have become increasingly popular in recent years due to their ability to handle complex tasks such as generating human-like text quickly and accurately. They have also been used in various fields such as customer service chatbots, virtual assistants, and search engines for information retrieval purposes.'

🧍 MODNet for Portrait Image Matting

Next, we added support for MODNet, a small (but powerful) portrait image matting model (PR). Thanks to @​cyio for the suggestion!

Example: Perform portrait image matting with Xenova/modnet.

import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
</tr></table>

... (truncated)

Commits

• 41f98b7 [version] Update to 2.15.0
• dbeb314 Update jsdoc-to-markdown dev dependency (#574)
• 2bd8c78 Support size_divisbility after resizing (#569)
• ae7af0a Add support for Qwen2 models (#570)
• a6f3f88 Improve unknown model warnings (#554)
• 2b3dcb1 Use absolute links for example code (#550)
• See full diff in compare view

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