---
license: mit
base_model: microsoft/deberta-v3-base
tags:
- deberta
- deberta-v3
- fill-mask
library_name: transformers
---

# DeBERTa-v3-base

This repository contains the official **microsoft/deberta-v3-base** model in `safetensors` format together with the complete tokenizer files for maximum compatibility.

## Original Model
[microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base)

## Files Included
- `model.safetensors` — model weights
- Full tokenizer (`tokenizer.json`, `spm.model`, `tokenizer_config.json`, etc.)
- `config.json`

## Usage
```python
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("LiefOlsonMd/deberta-v3-base")
tokenizer = AutoTokenizer.from_pretrained("LiefOlsonMd/deberta-v3-base")
```

## Model Details
- Architecture: DeBERTa-v3-base
- Backbone parameters: 86M
- Embedding parameters: ~98M (128k SentencePiece vocabulary)
- Total parameters: ≈ 184M
- Weights: `model.safetensors` (~371 MB)

## License
MIT License (same as the original model)