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:
- 6420279aee313fe2893c2d4cfc61bf7bf46cc5df7fa6c2c6592899a74eab793a
- Size of remote file:
- 3.64 kB
- SHA256:
- 541b59bf4ef5ea5d14013355cfe260b9c0fcb79c0f6cd5bbccb34e692276f41a
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