Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use norBARA/IA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use norBARA/IA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("norBARA/IA") model = AutoModelForSeq2SeqLM.from_pretrained("norBARA/IA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c77aad9b59b3cbdff8039469f5556fecd7b2c8c7462cca8867dfbf9619f98f27
- Size of remote file:
- 616 MB
- SHA256:
- 981a70e351717de4bc99b89850fe6de3e53ec0b49fe5fc582e676a062a6f1ed2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.