Instructions to use Broomva/bart-large-translation-spa-pbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Broomva/bart-large-translation-spa-pbb with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Broomva/bart-large-translation-spa-pbb") model = AutoModelForSeq2SeqLM.from_pretrained("Broomva/bart-large-translation-spa-pbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02f49d667bddb3ff4b968b557a684c4fde79cd6ecf729121c894ee9cd4a3dbd3
- Size of remote file:
- 4.35 kB
- SHA256:
- 99d77373aa7dcc4b2c60c49d87ff4df1ed8cd1e338591b71c8740d84b5e57504
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