Instructions to use doc2query/msmarco-dutch-mt5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-dutch-mt5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-dutch-mt5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-dutch-mt5-base-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e72732b1a19a874207635fd0edbfc5c9bbda3e0084215d46ae83c7a881f2e41d
- Size of remote file:
- 2.33 GB
- SHA256:
- 3408a079bd467dc9c9deaaf85630340f3dfa8de07bbaa407cd1bbdd4eb7d3e3d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.