Instructions to use muibk/tatoeba_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muibk/tatoeba_finetuned with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("muibk/tatoeba_finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("muibk/tatoeba_finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32ba80c23d311b47e2a43f157ce73b85ac4ab153ff3f184b4395185747a5e0f7
- Size of remote file:
- 310 MB
- SHA256:
- 99aa7a9a1cfaabd409f5402d4033748694d5ad892c0b713f89df51aec3875b9e
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