metadata
language:
- en
- hi
- multilingual
tags:
- text2text-generation
widget:
- text: What are you doing?
example_title: What are you doing
- text: It is raining heavily.
example_title: It is raining heavily.
- text: How are you?
example_title: How are you?
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 with English-Hinglish-TOP dataset.
Usage
# 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)