1. GIT - Hugging Face
GIT is a decoder-only Transformer that leverages CLIP's vision encoder to condition the model on vision inputs besides text. The model obtains state-of-the-art ...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2. Installation - Hugging Face
git clone https://github.com/huggingface/transformers.git cd transformers pip install -e . These commands will link the folder you cloned the repository to ...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
3. GIT: A Generative Image-to-text Transformer for Vision and Language
27 mei 2022 · Abstract:In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video ...
In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide a consistent network architecture between pre-training and fine-tuning, existing work typically contains complex structures (uni/multi-modal encoder/decoder) and depends on external modules such as object detectors/taggers and optical character recognition (OCR). In GIT, we simplify the architecture as one image encoder and one text decoder under a single language modeling task. We also scale up the pre-training data and the model size to boost the model performance. Without bells and whistles, our GIT establishes new state of the arts on 12 challenging benchmarks with a large margin. For instance, our model surpasses the human performance for the first time on TextCaps (138.2 vs. 125.5 in CIDEr). Furthermore, we present a new scheme of generation-based image classification and scene text recognition, achieving decent performance on standard benchmarks. Codes are released at \url{https://github.com/microsoft/GenerativeImage2Text}.
4. huggingworld / transformers - GitLab
30 jun 2020 · Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
5. GIT: A Generative Image-to-text Transformer for Vision and Language
27 mei 2022 · In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video ...
🏆 SOTA for Image Captioning on nocaps-XD near-domain (CIDEr metric)
6. [2403.09394] GiT: Towards Generalist Vision Transformer through ... - arXiv
14 mrt 2024 · Abstract:This paper proposes a simple, yet effective framework, called GiT, simultaneously applicable for various vision tasks only with a ...
This paper proposes a simple, yet effective framework, called GiT, simultaneously applicable for various vision tasks only with a vanilla ViT. Motivated by the universality of the Multi-layer Transformer architecture (e.g, GPT) widely used in large language models (LLMs), we seek to broaden its scope to serve as a powerful vision foundation model (VFM). However, unlike language modeling, visual tasks typically require specific modules, such as bounding box heads for detection and pixel decoders for segmentation, greatly hindering the application of powerful multi-layer transformers in the vision domain. To solve this, we design a universal language interface that empowers the successful auto-regressive decoding to adeptly unify various visual tasks, from image-level understanding (e.g., captioning), over sparse perception (e.g., detection), to dense prediction (e.g., segmentation). Based on the above designs, the entire model is composed solely of a ViT, without any specific additions, offering a remarkable architectural simplification. GiT is a multi-task visual model, jointly trained across five representative benchmarks without task-specific fine-tuning. Interestingly, our GiT builds a new benchmark in generalist performance, and fosters mutual enhancement across tasks, leading to significant improvements compared to isolated training. This reflects a similar impact observed in LLMs. Further enriching training with 27 datasets, GiT achieves strong zero-shot results over va...
7. Fast Transformers for PyTorch
Transformers · Module fast_transformers · Attention · Builders
None
8. GiT: Graph Interactive Transformer for Vehicle Re-Identification
In this paper, we propose a graph interactive transformer. (GiT) method for vehicle re-identification. The GiT method couples graphs and transformers to explore ...
9. Transformers.js
State-of-the-art Machine Learning for the web. Run Transformers directly in your browser, with no need for a server!
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
10. News Release | Toshiba Energy Systems & Solutions
1 dag geleden · Seven Toshiba Gas Insulated Transformers Enter Operation in Makkah · Toshiba's GIT installed in Haram 2 Substation · Related article.
～Bringing enhanced safety and reliable power supply to the Gulf States～
11. SentenceTransformers Documentation — Sentence ...
SentenceTransformers Documentation; Edit on GitHub. Note. Sentence Transformers v3.0 just released, introducing a new training API for Sentence Transformer ...
Sentence Transformers
See AlsoNextdoor Myvidster
12. 7 Toshiba gas insulated transformers enter operation in Makkah
15 uur geleden · Toshiba Energy Systems and Solutions Corporation has installed and activated seven gas insulated transformers (GIT) in the Haram 2 and Haram ...
Toshiba Energy Systems and Solutions Corporation has installed and activated seven gas insulated transformers (GIT) in the Haram 2 and Haram 3 substations serving Makkah, Saudi Arabia.
13. Installation — Transformer Engine 1.7.0 documentation - NVIDIA Docs
Execute the following command to install the latest stable version of Transformer Engine: pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable.
Linux x86_64
14. GIT: A Generative Image-to-text Transformer for Vision and Language
In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question ...
In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide...
15. GiT: Graph Interactive Transformer for Vehicle Re-Identification
26 jan 2023 · For that, a graph interactive transformer (GiT) is proposed in this paper. In the macro view, a list of GiT blocks are stacked to build a ...
Transformers are more and more popular in computer vision, which treat an image as a sequence of patches and learn robust global features from the sequence. However, pure transformers are not entirely suitable for vehicle re-identification because vehicle re-identification requires both robust global features and discriminative local features. For that, a graph interactive transformer (GiT) is proposed in this paper. In the macro view, a list of GiT blocks are stacked to build a vehicle re-identification model, in where graphs are to extract discriminative local features within patches and transformers are to extract robust global features among patches. In the micro view, graphs and transformers are in an interactive status, bringing effective cooperation between local and global features. Specifically, one current graph is embedded after the former level’s graph and transformer, while the current transform is embedded after the current graph and the former level’s transformer. In addition to the interaction between graphs and transforms, the graph is a newly-designed local correction graph, which learns discriminative local features within a patch by exploring nodes’ relationships. Extensive experiments on three large-scale vehicle re-identification datasets demonstrate that our GiT method is superior to state-of-the-art vehicle re-identification approaches.
16. pip install transformers==2.2.2 - PyPI
13 dec 2019 · git clone https://github.com/huggingface/transformers cd transformers pip install [--editable] . Tests. A series of tests are included for ...
State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
17. Seven Toshiba Gas Insulated Transformers Enter Operation in ...
1 dag geleden · ... transformers (GIT) in the Haram 2 and Haram 3 substations serving Makkah, Saudi Arabia, significantly contributing to a safer, more reliable ...
KAWASAKI, Japan, June 27, 2024--Toshiba Energy Systems and Solutions Corporation ("Toshiba") has installed and activated seven gas insulated transformers (GIT) in the Haram 2 and Haram 3 substations serving Makkah, Saudi Arabia, significantly contributing to a safer, more reliable power supply. The project was commissioned by Saudi Electricity Company as a major upgrade to crucial urban infrastructure relied on by millions of people and involved replacing oil-insulated transformers with seven GI
18. Vision Grid Transformer for Document Layout Analysis | Papers With Code
... Transformer, in which Grid Transformer (GiT) is proposed and pre-trained for 2D token-level and segment-level semantic understanding. Furthermore, a new ...
🏆 SOTA for Document Layout Analysis on PubLayNet val (Overall metric)
19. Install spaCy · spaCy Usage Documentation
... transformers] (with multiple comma-separated extras). See the [options ... git clone https://github.com/explosion/spaCy cd spaCy make. You can configure ...
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
20. GitHub Copilot Extensions are all you need - Visual Studio Code
3 dagen geleden · ... GitHub Copilot. The same way that transformers were transformative (sorry) for AI, we believe GitHub Copilot Extensions will ultimately ...
Learn how to extend GitHub Copilot by using the Chat and Language Model APIs in your Visual Studio Code extension. Get inspired by early adopters and their extensions.
21. Revolutionizing Power Supply: Toshiba's Cutting-Edge Technology ...
24 uur geleden · In a groundbreaking project, Toshiba has implemented state-of-the-art gas insulated transformers (GIT) in vital urban substations, ...
Revolutionizing Power Supply: Toshiba's Cutting-Edge Technology in Urban Centers - Bit Perfect Solutions
