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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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Latest capture 2026-07-15 03:16
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Scanned 2026-07-15 03:16
adalm/requirements.txt
python ecosystem,
12 dependencies
adalm/setup.py
python ecosystem,
6 dependencies
beit/requirements.txt
python ecosystem,
13 dependencies
beit2/requirements.txt
python ecosystem,
13 dependencies
beit3/requirements.txt
python ecosystem,
22 dependencies
dit/requirements.txt
python ecosystem,
14 dependencies
e5/requirements.txt
python ecosystem,
5 dependencies
edgelm/pyproject.toml
python ecosystem,
3 dependencies
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State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
This repository contains demos I made with the Transformers library by HuggingFace.
