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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: |