Instructions to use Luisr-ecu/mBART51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luisr-ecu/mBART51 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="Luisr-ecu/mBART51")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Luisr-ecu/mBART51") model = AutoModelForSeq2SeqLM.from_pretrained("Luisr-ecu/mBART51", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1dfd6af375aff53f985477f4f036db1cc3f7589508273c18c889121570dcf31
- Size of remote file:
- 17.1 MB
- SHA256:
- e30eaf01ad3d55bbd3a4a52f71037911979c414b728448e7631364ae6057ef03
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