Instructions to use Narrativa/mbart-large-50-finetuned-opus-en-pt-translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narrativa/mbart-large-50-finetuned-opus-en-pt-translation 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="Narrativa/mbart-large-50-finetuned-opus-en-pt-translation")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Narrativa/mbart-large-50-finetuned-opus-en-pt-translation") model = AutoModelForSeq2SeqLM.from_pretrained("Narrativa/mbart-large-50-finetuned-opus-en-pt-translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
The Bleu score, from en to pt doesnt reflect the performance
#3 opened over 2 years ago
by
rps-dxdydz
Where are the language id's listed?
#2 opened over 3 years ago
by
ultimorph
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot