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:
- 1e671ddf7bccff56b906a0c64869645136323bc6b1786517b4cb1b07e34a46ca
- Size of remote file:
- 794 kB
- SHA256:
- 209a2bf269540755fc2a29491e57c963bc8c6c1d14dab9f0779cf1dc54fc7d8c
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