Instructions to use BeIR/query-gen-msmarco-t5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeIR/query-gen-msmarco-t5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BeIR/query-gen-msmarco-t5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("BeIR/query-gen-msmarco-t5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1001f2c1596a73a663535f4feb56a0dcb08cd31ee007242166897f0af1f58a70
- Size of remote file:
- 892 MB
- SHA256:
- 18b8c8b716279d834b316d84b95215a5da0fb796238b0564958beea7df26b8de
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