Instructions to use Ife/ES-CA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ife/ES-CA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ife/ES-CA") model = AutoModelForSeq2SeqLM.from_pretrained("Ife/ES-CA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 833185ba7b42358132e0ec0d521b99f295baff461129d5f776b73ce561920fda
- Size of remote file:
- 283 MB
- SHA256:
- 7ef4ae1ebcb3e080c99569b09a0c9ebb1649ae52df6a46855e4bb9e19b87077e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.