Instructions to use doc2query/msmarco-t5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-t5-base-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-t5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-t5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from doc2query/msmarco-t5-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/doc2query/msmarco-t5-base-v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://doc2query/msmarco-t5-base-v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/doc2query/msmarco-t5-base-v1/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 4350e3ad24257530ea7c83dede39d657711b8d5fcb9eb4a95134400bc944b65e
- Size of remote file:
- 990 MB
- SHA256:
- f0a1ec383a679613ac06324afa31e93bbcea18b5175e576ea21174edae448e78
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