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:
# pip install -U transformers accelerate # 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
Download training_args.bin from Andzej-75/flan-t5-RisingWorld-code: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Andzej-75/flan-t5-RisingWorld-code/resolve/main/training_args.bin
- Command line
-
hf download hf://Andzej-75/flan-t5-RisingWorld-code/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Andzej-75/flan-t5-RisingWorld-code/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 0395e69db87447d2642afbf71087dd630403a57c22bd95d94cd32e02e54b803c
- Size of remote file:
- 5.3 kB
- SHA256:
- af83f78e5118fabb82497579116d66f7bdf268eacc94576d115b7038a2682735
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.