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avisena
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t5-base-weekly-diary-summarization

Summarization
Safetensors
t5
PyTorch
text2text
Eval Results (legacy)
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Update README.md

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README.md CHANGED
@@ -51,7 +51,7 @@ This model can be used to summarize daily diary log into weekly summarization
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  from transformers import T5Tokenizer, T5ForConditionalGeneration
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  # Load the model and tokenizer
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- model_name = "outputs/best_model"
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  tokenizer = T5Tokenizer.from_pretrained(model_name)
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  model = T5ForConditionalGeneration.from_pretrained(model_name)
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  from transformers import T5Tokenizer, T5ForConditionalGeneration
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  # Load the model and tokenizer
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+ model_name = "avisena/t5-base-weekly-diary-summarization"
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  tokenizer = T5Tokenizer.from_pretrained(model_name)
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  model = T5ForConditionalGeneration.from_pretrained(model_name)
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