Instructions to use lIlBrother/ko-barTNumText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lIlBrother/ko-barTNumText with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lIlBrother/ko-barTNumText") model = AutoModelForSeq2SeqLM.from_pretrained("lIlBrother/ko-barTNumText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): b3086d6
Update: wandb url 변경
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README.md
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## Evaluation
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Just using `evaluate-metric/bleu` and `evaluate-metric/rouge` in huggingface `evaluate` library <br />
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[Training wanDB URL](https://wandb.ai/bart_tadev/BartForConditionalGeneration?workspace=user-bart_tadev)
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## How to Get Started With the Model
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```python
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from transformers.pipelines import Text2TextGenerationPipeline
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```
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## Evaluation
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Just using `evaluate-metric/bleu` and `evaluate-metric/rouge` in huggingface `evaluate` library <br />
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[Training wanDB URL](https://wandb.ai/bart_tadev/BartForConditionalGeneration/runs/2dt1d2b0?workspace=user-bart_tadev)
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## How to Get Started With the Model
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```python
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from transformers.pipelines import Text2TextGenerationPipeline
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