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") - Notebooks
- Google Colab
- Kaggle
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datasets:
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- google-research-datasets/taskmaster2
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- djaym7/wiki_dialog
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language:
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datasets:
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- google-research-datasets/taskmaster2
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- djaym7/wiki_dialog
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- Andzej-75/German_RisingWorld_DPO-prompt-text
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- deepmind/code_contests
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- openai/gsm8k
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- deepmind/aqua_rat
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language:
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- de
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