To solve this problem, use a new embedding called [`patch_type_embeddings`](https://github.com/graykode/commit-autosuggestions/blob/master/commit/model/diff_roberta.py#L40) that can distinguish added and deleted, just as the sample et al, 2019 (XLM) used language embeddeding. (1 for added, 2 for deleted.)
@@ -57,7 +57,7 @@ To solve this problem, use a new embedding called [`patch_type_embeddings`](http
* ✅ — Supported
* ⬜ - N/A ️
We plan to slowly conquer languages that are not currently supported. However, I also need to use expensive GPU instances of AWS or GCP to train about the above languages. Please do a simple sponsor for this!
We plan to slowly conquer languages that are not currently supported. However, I also need to use expensive GPU instances of AWS or GCP to train about the above languages. Please do a simple sponsor for this! Add data is [CodeSearchNet dataset](https://drive.google.com/uc?id=1rd2Tc6oUWBo7JouwexW3ksQ0PaOhUr6h).
### Quick Start
To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.