Instructions to use BenguerineMohammed/nmt-seq2seq-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BenguerineMohammed/nmt-seq2seq-translator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BenguerineMohammed/nmt-seq2seq-translator") model = AutoModelForSeq2SeqLM.from_pretrained("BenguerineMohammed/nmt-seq2seq-translator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54599581286e929812ef538b98f7cc12850aa83138725e3b564e17afadaa70eb
- Size of remote file:
- 17.3 MB
- SHA256:
- 3b39b25b0763a1dd69dec54081fafcf10770d9f2538a3bd975a0c4be6d60a9c2
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