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:
- be1a9ed828b30eb5d4a9d556ed3e394b977e6149b746abbeebbb96ba0866f576
- Size of remote file:
- 917 kB
- SHA256:
- 484f7210e5f4466f7e5b99b660717c6ef2a6f90746196daba507795b69dc02a2
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