Instructions to use doc2query/msmarco-t5-small-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-t5-small-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-t5-small-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-t5-small-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7038caeb98d9477c547fa1ab91100f6015590940a90298b9eede78c70feca866
- Size of remote file:
- 2.99 kB
- SHA256:
- 1dfb7cfff430f81d2d2488d6a1a55dcdaa1fd3b830bc9bcf1697c4dcd8c1498b
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