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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb02dfc4d59c1f5ac4617443f4452ee9e58ceda1bc9544e12dcdd1320d5989f0
- Size of remote file:
- 566 MB
- SHA256:
- 21091a17d40c2bd3277690ee32593709288000064ad0ed18051ccef163a8388a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.