Instructions to use sshleifer/student_marian_en_ro_6_4 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_4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/student_marian_en_ro_6_4") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/student_marian_en_ro_6_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e555ed42f99b83541ce8b71f1931157402f2a65217e9bf329b9fa412e72c89b
- Size of remote file:
- 267 MB
- SHA256:
- 2a821ec546c07fa93d85b8b206dad455dd7f7519fe3628be6fa9445783d473e6
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