Transformers
TensorBoard
Safetensors
t5
text2text-generation
Trained with AutoTrain
Seq2Seq
Rising World
Java
JavaAPI
text-generation-inference
Instructions to use Andzej-75/flan-t5-RisingWorld-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andzej-75/flan-t5-RisingWorld-code with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Andzej-75/flan-t5-RisingWorld-code") model = AutoModelForSeq2SeqLM.from_pretrained("Andzej-75/flan-t5-RisingWorld-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Problem type: Seq2Seq
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## Validation Metrics
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loss: 0.3849843144416809
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rouge1: 46.2037
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rouge2: 42.3541
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rougeL: 45.8784
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rougeLsum: 45.9787
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gen_len: 18.9849
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runtime: 660.9921
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samples_per_second: 0.401
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steps_per_second: 0.101
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- Problem type: Seq2Seq
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## Validation Metrics
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* loss: 0.3849843144416809
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* rouge1: 46.2037
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* rouge2: 42.3541
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* rougeL: 45.8784
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* rougeLsum: 45.9787
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* gen_len: 18.9849
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* runtime: 660.9921
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* samples_per_second: 0.401
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* steps_per_second: 0.101
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*
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