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:
- 7a8721b092583603b66bdb5f511cbb5af020da678ee943c9258b5f87e03920b3
- Size of remote file:
- 308 MB
- SHA256:
- 03da812f9002a089317447134719f1093383ade0914e05a13b21a88e68f3ef0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.