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:
- b2468f174db667bb367f5f38caa60081f000ad397fe05a110c0970d231309994
- Size of remote file:
- 2.44 GB
- SHA256:
- c0eafdaee0416d48615ae29130594f251142c5e16a7932838daee85a860ff4b4
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