Update README.md

README.md

@@ -2,9 +2,23 @@
 tags:
 - model_hub_mixin
 - pytorch_model_hub_mixin
+license: wtfpl
+datasets:
+- bobox/OpenbookQA-4ST
+language:
+- en
+base_model:
+- LocalWisdom/PurpleCBoW
+pipeline_tag: feature-extraction
 ---
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Code: [More Information Needed]
-- Paper: [More Information Needed]
-- Docs: [More Information Needed]
+# PurpleFastText
+
+A simple implementation of FastText from https://arxiv.org/pdf/1607.04606.
+
+Made for beginner to reference and learn from. This repository contains `tokenizer.json`, `model.safetensors`, and `train.ipynb`.
+The training workflow use modern libraries like HuggingFace's datasets and tokenizers. The rest is just PyTorch.
+
+There are some algorithm which we decided to not implement which is the hashing function from the original paper.
+The resulting training workflow is not as fast as the paper suggest, maybe it is because of the use of Python instead
+of [Hogwild!](https://people.eecs.berkeley.edu/~brecht/papers/hogwildTR.pdf) instead.