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Rename LLAMATokenizer to SPieceTokenizer.
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@ -1,5 +1,5 @@
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from comfy import sd1_clip
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from .llama_tokenizer import LLAMATokenizer
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from .spiece_tokenizer import SPieceTokenizer
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import comfy.text_encoders.t5
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import os
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@ -11,7 +11,7 @@ class PT5XlModel(sd1_clip.SDClipModel):
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class PT5XlTokenizer(sd1_clip.SDTokenizer):
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def __init__(self, embedding_directory=None):
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tokenizer_path = os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_pile_tokenizer"), "tokenizer.model")
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super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=LLAMATokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
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super().__init__(tokenizer_path, pad_with_end=False, embedding_size=2048, embedding_key='pile_t5xl', tokenizer_class=SPieceTokenizer, has_start_token=False, pad_to_max_length=False, max_length=99999999, min_length=256, pad_token=1)
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class AuraT5Tokenizer(sd1_clip.SD1Tokenizer):
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def __init__(self, embedding_directory=None):
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@ -1,9 +1,9 @@
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import os
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class LLAMATokenizer:
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class SPieceTokenizer:
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@staticmethod
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def from_pretrained(path):
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return LLAMATokenizer(path)
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return SPieceTokenizer(path)
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def __init__(self, tokenizer_path):
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import sentencepiece
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