Instructions to use nwiser/eng-darija-trsl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nwiser/eng-darija-trsl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nwiser/eng-darija-trsl") model = AutoModelForSeq2SeqLM.from_pretrained("nwiser/eng-darija-trsl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 739137d15f5e46ee99111b822125097ad69225369619bdecc7f2f675bf41dc5d
- Size of remote file:
- 802 kB
- SHA256:
- 156cae4f035ba812224e79d71626802a07296a3ad2ea5c6bc1f2cb35420dfeb4
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