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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3761c5f72eaba4d28af33d61cb19433b301aa540408e764ad6c38a2aac4ec476
- Size of remote file:
- 2.61 kB
- SHA256:
- b3fc404a5b45e5abb9506c7e5bbe170679152ffb36e0a9e8304b9e2bb7c556a8
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