Instructions to use DeepLoading/slang-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLoading/slang-translation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DeepLoading/slang-translation") model = AutoModelForSeq2SeqLM.from_pretrained("DeepLoading/slang-translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48df004e6714077c9f90a033dbd9fb5501ca3e8d620cec8d3d676589dc3c3c54
- Size of remote file:
- 3.2 kB
- SHA256:
- a5e54ab9f7e3892c3cfe0db2b5463472e9917b4989e02fa03b08fd38adec0089
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