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:
- 120b1d9df8a84cec1e46663b2ed29747c7953483293113f00c21aef8110f63ba
- Size of remote file:
- 819 kB
- SHA256:
- 44faa3234c2e663705f548e868d84d204530af95812b24f320a6d9ace9ae6482
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