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
- Xet hash:
- bbc602f274800c5c67c240e8df33e4970b02bbe7aa3cc58899ebb1541ac4610a
- Size of remote file:
- 3.13 GB
- SHA256:
- 335d317a273489b30b1c1591cb1dd4d8664b9b11fc8d9b6cc935cacfde574782
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