Instructions to use castorini/doc2query-t5-large-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/doc2query-t5-large-msmarco with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/doc2query-t5-large-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/doc2query-t5-large-msmarco") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1167ef42c30a9a73dd96487b52459ee22f35dcad57d85eefd2cb33db4935c659
- Size of remote file:
- 2.95 GB
- SHA256:
- c92c66d7245ee64f9e10d02b81c15eaa76109cc767859e20d70d4a60ec0ca1ad
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