Instructions to use doc2query/msmarco-arabic-mt5-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use doc2query/msmarco-arabic-mt5-base-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("doc2query/msmarco-arabic-mt5-base-v1") model = AutoModelForSeq2SeqLM.from_pretrained("doc2query/msmarco-arabic-mt5-base-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d3562e93e47b80ecd78daae1802a4dac0415a6d0f08655d86f6eba2a44e841
- Size of remote file:
- 3.25 kB
- SHA256:
- 80190237d420668974d631ec7acf1648af6bbce0f01eecd2314b1f730cd8f66a
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