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
- Xet hash:
- 8f806dad49e529210cba8370022c451c176efc9592fd9846b0274330466de00b
- Size of remote file:
- 6.27 GB
- SHA256:
- cb17d11112ded19800149c567642defd8a078c32f6d25806932feff5cee5bc00
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