Instructions to use castorini/doc2query-t5-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/doc2query-t5-base-msmarco with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/doc2query-t5-base-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/doc2query-t5-base-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from castorini/doc2query-t5-base-msmarco: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/castorini/doc2query-t5-base-msmarco/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://castorini/doc2query-t5-base-msmarco/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/castorini/doc2query-t5-base-msmarco/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- 96dd245cdc52c641b65b584137e5eb2b4578d99497e0d594a6b84794abd702bf
- Size of remote file:
- 892 MB
- SHA256:
- b59b1c36daf1eda7b94a07fb10b25e29be1e77b23b7238b3a8d738bac1ce9000
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