bhadresh-savani
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Update README.md
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README.md
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## How to use it in your code:
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("flax-community/
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model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/
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complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
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sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
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answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
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## How to use it in your code:
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-large-wikisplit")
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model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-large-wikisplit")
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complex_sentence = "This comedy drama is produced by Tidy , the company she co-founded in 2008 with her husband David Peet , who is managing director ."
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sample_tokenized = tokenizer(complex_sentence, return_tensors="pt")
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answer = model.generate(sample_tokenized['input_ids'], attention_mask = sample_tokenized['attention_mask'], max_length=256, num_beams=5)
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