Instructions to use doc2query/msmarco-14langs-mt5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-14langs-mt5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-14langs-mt5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-14langs-mt5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44684e685f9461528af9df39506fcdddb10ea794e06f537d9fbdec7a15ebe678
- Size of remote file:
- 2.33 GB
- SHA256:
- 5f7792255a3bfabe8f59c5a078a540240d190ad903ec77fe11b00073c063cb20
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