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
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README.md
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- text2text-generation
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- Seq2Seq
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- Rising World
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base_model: google/flan-t5-large
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widget:
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license: apache-2.0
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datasets:
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- google-research-datasets/taskmaster2
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language:
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- de
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- en
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- fr
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---
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# Model Trained Using AutoTrain
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- text2text-generation
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- Seq2Seq
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- Rising World
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- Java
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- JavaAPI
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base_model: google/flan-t5-large
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widget:
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- text: "Translate to German: My name is Arthur"
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example_title: "Translation"
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- text: "Please answer to the following question. Who is going to be the next Ballon d'or?"
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example_title: "Question Answering"
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license: apache-2.0
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datasets:
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- google-research-datasets/taskmaster2
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language:
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- de
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- en
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- fr
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- multilingual
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# Model Trained Using AutoTrain
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