Instructions to use facebook/mbart-large-en-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-en-ro with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="facebook/mbart-large-en-ro")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("facebook/mbart-large-en-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6469cfbe29e03aafb0314dcf5adb706690b3f9663ea37172a2f8a2028964b1d
- Size of remote file:
- 1.22 GB
- SHA256:
- f5279157191933cf69485a63291df12316c94d1a092c9efb2fed7472592df8f8
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