Instructions to use WelfCrozzo/belarussian-switch-translator-L512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WelfCrozzo/belarussian-switch-translator-L512 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WelfCrozzo/belarussian-switch-translator-L512") model = AutoModelForSeq2SeqLM.from_pretrained("WelfCrozzo/belarussian-switch-translator-L512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e0bbe396490d893d074c312ee89b4c4e91c46a1bc6ae9cacf65327b5ed88b7b
- Size of remote file:
- 1.48 GB
- SHA256:
- b90b4b38583256f9eba3ad0406a5a082170ef708e01ce1fddd714ba7e6f89ed9
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