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:
- 6580ff79165a49c54842487ab345267e008c60a8287ef1b869f28319abe9bbf2
- Size of remote file:
- 538 kB
- SHA256:
- 7f2ac43afed26f7895aa5b55fe663d7dcc55ba65ea33565d994444333d87006e
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