---
license: mit
datasets:
- databricks/databricks-dolly-15k
language:
- en
metrics:
- rouge
widget:
- text: 'Please answer this question: What is Artifical Intelligence?'
library_name: transformers
---
# Uploaded  model

- **Developed by:** [Vicky](https://huggingface.co/Mr-Vicky-01)
- **License:** mit
- **Finetuned from model :** [Bart summarization](https://huggingface.co/Mr-Vicky-01/Bart-Finetuned-conversational-summarization)

# Inference

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

tokenizer = AutoTokenizer.from_pretrained("Mr-Vicky-01/Facebook-Bart-Qna")
model = AutoModelForSeq2SeqLM.from_pretrained("Mr-Vicky-01/Facebook-Bart-Qna")

def generate_answer(text):
    inputs = tokenizer([text], return_tensors='pt', truncation=True)
    summary_ids = model.generate(inputs['input_ids'], max_length=512)
    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
    return summary

text_to_summarize = """Please answer this question: What is Artifical Intelligence?"""
summary = generate_answer(text_to_summarize)
print(summary)
```