---
language: en
tags:
- transformers
- pytorch
library_name: transformers
pipeline_tag: text2text-generation
license: mit
base_model:
- google/byt5-small
---

# Model
This is a sample finetuned model produced under [LLMPot research project](https://github.com/momalab/LLMPot) and explained further in the [related research manuscript](https://arxiv.org/abs/2405.05999).

## How to Use

This model is a fine-tuned version of [`google/byt5-small`](https://huggingface.co/google/byt5-small) for Modbus protocol emulation.

Make sure you have `transformers` and `torch` installed:

```bash
pip install transformers torch
```

Load the model and run a single inference.

```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline

tokenizer = AutoTokenizer.from_pretrained("cv43/llmpot")
model = AutoModelForSeq2SeqLM.from_pretrained("cv43/llmpot")

pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer, framework="pt")

request = "02b10000000b00100000000204ffffffff"
result = pipe(request)
print(f"Request: {request}, Response: {result[0]['generated_text']}")
```

Otherwise you may use our [Space](https://huggingface.co/spaces/cv43/llmpot) application where the model is running on the cloud.