---
license: mit
language:
- en
library_name: transformers
pipeline_tag: feature-extraction
---
# Coma Model

This repository contains a custom model for feature extraction using the BART architecture. The model and tokenizer are hosted on Hugging Face, and the inference is integrated into a Glitch server for processing WhatsApp messages.

## Files and Directories

- `model/`
  - `config.json`
  - `generation_config.json`
  - `model.safetensors`
- `tokenizer/`
  - `merges.txt`
  - `special_tokens_map.json`
  - `tokenizer_config.json`
  - `vocab.json`
- `README.md`: This file.

## Getting Started

### 1. Set Up Hugging Face Model

Ensure all model and tokenizer files are correctly uploaded to your Hugging Face repository.

### 2. Environment Variables

Create a `.env` file in your Glitch project with the following content: