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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 098f1546b96d22a95d938e2f41c3194de636f3ed724fad58cb8327241fc67572
- Size of remote file:
- 2.99 kB
- SHA256:
- 507faa0aa497b5826725209f4a7d8a7979d7958fbb7377c8a4206f5bb666477b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.