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---
license: apache-2.0
language:
- en
tags:
- ctranslate2
- flan-t5-small
- quantization
- int8
---
# Model Card for FLAN T5 Small Q8
The model is quantized version of the [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) with int8 quantization.
## Model Details
### Model Description
The model being quantized using [CTranslate2](https://opennmt.net/CTranslate2/) with the following command:
```
ct2-transformers-converter --model google/flan-t5-small --output_dir google/flan-t5-small-ct2 --copy_files tokenizer.json tokenizer_config.json special_tokens_map.json spiece.model --quantization int8 --force
```
If you want to perform the quantization yourself, you need to install the following dependencies:
```
pip install -qU ctranslate2 transformers[torch] sentencepiece
```
- **Shared by:** Lim Chee Kin
- **License:** Apache 2.0
## How to Get Started with the Model
Use the code below to get started with the model.
```python
import ctranslate2
import transformers
translator = ctranslate2.Translator("google/flan-t5-small-ct2")
tokenizer = transformers.AutoTokenizer.from_pretrained("google/flan-t5-small-ct2")
input_text = "translate English to German: The house is wonderful."
input_tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(input_text))
results = translator.translate_batch([input_tokens])
output_tokens = results[0].hypotheses[0]
output_text = tokenizer.decode(tokenizer.convert_tokens_to_ids(output_tokens))
print(output_text)
```
The code is taken from https://opennmt.net/CTranslate2/guides/transformers.html#t5.
The key method of the code above is `translate_batch`, you can find out [its supported parameters here](https://opennmt.net/CTranslate2/python/ctranslate2.Translator.html#ctranslate2.Translator.translate_batch).
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