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docs: update README

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@@ -55,8 +55,14 @@ See [WandB logs](https://wandb.ai/d0rj/summarization/runs/5mmyskgi).
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  See report at **REPORT WIP**.
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  ## Usage
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  ```python
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  from transformers import pipeline
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@@ -65,6 +71,8 @@ pipe = pipeline('summarization', model='d0rj/rut5-base-summ')
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  pipe(text)
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  ```
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  ```python
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  from transformers import T5Tokenizer, T5ForConditionalGeneration
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  See report at **REPORT WIP**.
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+ ## Notes
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+
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+ > Scheduler, optimizer and trainer states are saved into this repo, so you can use that to continue finetune with your own data with existing gradients.
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  ## Usage
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+ ### Summarization pipeline
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+
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  ```python
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  from transformers import pipeline
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  pipe(text)
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  ```
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+ ### Text-to-text generation
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+
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  ```python
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  from transformers import T5Tokenizer, T5ForConditionalGeneration
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