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:
- cae8d333da94f0f25581172973c1cc79fe4fb88034ad5eee6f416fb8bd195ae8
- Size of remote file:
- 2.61 kB
- SHA256:
- 0d999594bac41f88b70e7041d6a1fd0183e497e42c7c9bd232ef4869b10596b6
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