---
language:
- en
- hi
- multilingual
tags:
- text2text-generation
widget:
- text: Is it snowing in New York?
  example_title: Is it snowing in New York?
- text: Is it raining in Hawaii?
  example_title: Is it raining in Hawaii?
- text: Turn off music.
  example_title: Turn off music.
datasets:
- rvv-karma/English-Hinglish-TOP
license: apache-2.0
pipeline_tag: text2text-generation
---

# English2Hinglish-Flan-T5-Base

This is a finetuned model of [Flan T5 Base](https://huggingface.co/google/flan-t5-base) with [English-Hinglish-TOP](https://huggingface.co/datasets/rvv-karma/English-Hinglish-TOP) dataset.

## Usage
```python
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

model_name = "rvv-karma/English2Hinglish-Flan-T5-Base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

input_text = "What are you doing?"
input_ids = tokenizer(input_text, return_tensors="pt")
output_ids = model.generate(**input_ids)
output_text = tokenizer.decode(output_ids[0], skip_special_tokens=True)

print(output_text)
```


## Fine-tuning script

[Google Colaboratory Notebook](https://colab.research.google.com/drive/11fUHem8r8qe_Ildh2_1XjOEY-Zyoy5j8?usp=sharing)

## References

[DataCamp](https://www.datacamp.com/tutorial/flan-t5-tutorial)