Instructions to use Samuael/ethiopic-sec2sec-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/ethiopic-sec2sec-supervised with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samuael/ethiopic-sec2sec-supervised") model = AutoModelForSeq2SeqLM.from_pretrained("Samuael/ethiopic-sec2sec-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cda36a196c344c34addf3acafd3169fe02d0142abba30c792016bdf6c0c847cb
- Size of remote file:
- 5.43 kB
- SHA256:
- 7697ba502d6517bcf62ed0009d924a6d3509619b43a54c3dc3ce59834a3c3700
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