Instructions to use Narrativa/mbart-large-50-finetuned-opus-pt-en-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-pt-en-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-pt-en-translation")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Narrativa/mbart-large-50-finetuned-opus-pt-en-translation") model = AutoModelForSeq2SeqLM.from_pretrained("Narrativa/mbart-large-50-finetuned-opus-pt-en-translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Translation requires a `src_lang` and a `tgt_lang` for this model
#1
by almon - opened
Hi. I am trying to use the hosted interface API but it throws the following error: Translation requires a src_lang and a tgt_lang for this model
How can I input these?
Thanks,
Alessandro
Hi Almon, did you figure this out? I am facing this same challenge now.