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Update README.md
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README.md
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## How to Use
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You can use this model directly with the transformers library as follows:
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```python
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model_name = "Omaratef3221/flan-t5-base-dialogue-generator"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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## Use with example
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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input_ids = tokenizer(prompt, return_tensors='pt').input_ids
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output = model.generate(input_ids, top_p = 0.6, do_sample=True, temperature = 1.2, max_length = 512)
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print(tokenizer.decode(output[0], skip_special_tokens=True).replace('. ', '.\n'))
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## How to Use
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You can use this model directly with the transformers library as follows:
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### Download the model
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```python
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model_name = "Omaratef3221/flan-t5-base-dialogue-generator"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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```
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### Use with example
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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input_ids = tokenizer(prompt, return_tensors='pt').input_ids
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output = model.generate(input_ids, top_p = 0.6, do_sample=True, temperature = 1.2, max_length = 512)
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print(tokenizer.decode(output[0], skip_special_tokens=True).replace('. ', '.\n'))
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```
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