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Update README.md

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@@ -46,7 +46,7 @@ Here is an example of generation for Wikipedia page retrieval for open-domain fa
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  ```python
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  import pickle
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- from transformers import BartTokenizer, BartForConditionalGeneration
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  # OPTIONAL: load the prefix tree (trie), you need to additionally download
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  # https://huggingface.co/facebook/genre-kilt/blob/main/trie.py and
@@ -55,8 +55,8 @@ from transformers import BartTokenizer, BartForConditionalGeneration
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  # with open("kilt_titles_trie_dict.pkl", "rb") as f:
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  # trie = Trie.load_from_dict(pickle.load(f))
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- tokenizer = BartTokenizer.from_pretrained("facebook/genre-kilt")
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- model = BartForConditionalGeneration.from_pretrained("facebook/genre-kilt").eval()
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  sentences = ["Einstein was a German physicist."]
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  ```python
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  import pickle
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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  # OPTIONAL: load the prefix tree (trie), you need to additionally download
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  # https://huggingface.co/facebook/genre-kilt/blob/main/trie.py and
 
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  # with open("kilt_titles_trie_dict.pkl", "rb") as f:
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  # trie = Trie.load_from_dict(pickle.load(f))
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+ tokenizer = AutoTokenizer.from_pretrained("facebook/genre-kilt")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("facebook/genre-kilt").eval()
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  sentences = ["Einstein was a German physicist."]
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