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license: mit
---
# Transformers from Scratch
<!-- Provide a quick summary of what the model is/does. -->
This project consists of code for Transformer Block, Single Head Attention and Multi-head attention and Casual Mask from Scratch.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
To solidify knowledge and for reference, attention block is based on paper "Attention is all you need".
- **Developed by:** Michael Peres
- **Model type:** Vanilla Transformer from Scratch
- **Language(s) (NLP):** English
- **License:** MIT
### Model Sources
<!-- Provide the basic links for the model. -->
- **Paper [Attention is all you need]:** https://arxiv.org/abs/1706.03762
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
[More Information Needed]
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** RTX 3070Ti
- **Hours used:** 0.1hr
### Model Architecture and Objective
Objective in this model was to understand Transformers, and the basic self attention module. Self Attention, Multi-Head Attention and Casual Mask and Transformer Block
## Model Card Contact
- michaelperes1@gmail.com
- ec20433@qmul.ac.uk |