Instructions to use Davlan/mbart50-large-yor-eng-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mbart50-large-yor-eng-mt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mbart50-large-yor-eng-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mbart50-large-yor-eng-mt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f6f0de285f356e2f99f64dfcd48206433ba5fde7066cb7b7c3f7532aa69c4f
- Size of remote file:
- 2.44 GB
- SHA256:
- e53a13d8eb4582c529e22023a9d2e7faeafeb8df5a243b474e0f3018b8c6d8c3
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