Instructions to use unicamp-dl/mt5-3B-mmarco-en-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/mt5-3B-mmarco-en-pt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-3B-mmarco-en-pt") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-3B-mmarco-en-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 108 Bytes
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license: apache-2.0
datasets:
- unicamp-dl/mmarco
language:
- en
- pt
base_model:
- google/mt5-large
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