Instructions to use sshleifer/student_marian_en_ro_6_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/student_marian_en_ro_6_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_marian_en_ro_6_3") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_marian_en_ro_6_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1437962f66af6932f95a8f6b74e99ebc0896f7b25d3ae75f7bfc46ea547975c5
- Size of remote file:
- 250 MB
- SHA256:
- 412e54b3aecb5f5a0b22149a516a5044a5a46490190a9ad022ff6e2ceef960bd
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