Instructions to use Ife/CA-ES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ife/CA-ES with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ife/CA-ES") model = AutoModelForSeq2SeqLM.from_pretrained("Ife/CA-ES", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f9554054f717a0c86f1a35a4f89c09346323705f827a90a56bc149f828d7474
- Size of remote file:
- 557 MB
- SHA256:
- 0354c06acf66dbbf76406347fcc635cb84eb147c3a758958173e9e0534900c6c
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