Instructions to use unicamp-dl/mt5-base-en-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unicamp-dl/mt5-base-en-msmarco with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/mt5-base-en-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/mt5-base-en-msmarco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b875384c453b5b63f42ce4bb8ed13ae2ebe039b61080f9cacc0a75b47b5735e0
- Size of remote file:
- 2.33 GB
- SHA256:
- 46614554aa37abe590f8690722195becd4e7fafe10dbdbd326033c91f60a7533
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