Instructions to use Sinoosoida/translation_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sinoosoida/translation_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sinoosoida/translation_2") model = AutoModelForSeq2SeqLM.from_pretrained("Sinoosoida/translation_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71f314df6403eae6fa8a0451ea7e2bcf7a2b0c33c5c81a3ea95dcc33a733a188
- Size of remote file:
- 892 MB
- SHA256:
- 444124bf27fbc947413e04cf1e3ee5bdaf76146d8298ad00278706d7ddb2e791
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.