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:
- dce588b2f067e1ab75eb7f3208ea154eaad41e7194ed834960aafd8307d12dfe
- Size of remote file:
- 17.8 kB
- SHA256:
- 7c1cc424775a9d5128858bed48d9ebd7218ecda4ad36770e55025ad425985a1c
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