Instructions to use castorini/monot5-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/monot5-base-msmarco with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/monot5-base-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/monot5-base-msmarco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d4b8f6671008649af213a4160308ed125489429793722f5fb1cb4991baebf99
- Size of remote file:
- 892 MB
- SHA256:
- dd58affd5786e328e6a1afadc39cc33d63e2a8f111bbbccc69212395c2f38592
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