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--- |
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license: mit |
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datasets: |
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- databricks/databricks-dolly-15k |
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language: |
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- en |
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metrics: |
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- rouge |
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widget: |
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- text: 'Please answer this question: What is Artifical Intelligence?' |
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library_name: transformers |
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--- |
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# Uploaded model |
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- **Developed by:** [Vicky](https://huggingface.co/Mr-Vicky-01) |
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- **License:** mit |
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- **Finetuned from model :** [Bart summarization](https://huggingface.co/Mr-Vicky-01/Bart-Finetuned-conversational-summarization) |
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# Inference |
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```terminal |
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pip install transformers |
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``` |
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``` |
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# Load model directly |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("Mr-Vicky-01/Facebook-Bart-Qna") |
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model = AutoModelForSeq2SeqLM.from_pretrained("Mr-Vicky-01/Facebook-Bart-Qna") |
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def generate_answer(text): |
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inputs = tokenizer([text], return_tensors='pt', truncation=True) |
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summary_ids = model.generate(inputs['input_ids'], max_length=512) |
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summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True) |
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return summary |
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text_to_summarize = """Please answer this question: What is Artifical Intelligence?""" |
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summary = generate_answer(text_to_summarize) |
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print(summary) |
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``` |
