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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from doc2query/msmarco-arabic-mt5-base-v1: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/doc2query/msmarco-arabic-mt5-base-v1/resolve/main/tokenizer.json
- Command line
-
hf download hf://doc2query/msmarco-arabic-mt5-base-v1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/doc2query/msmarco-arabic-mt5-base-v1/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- d1268cb5311523777a0ad069da28981dd4717bafc7891c6f16c47020ec0bfecb
- Size of remote file:
- 16.3 MB
- SHA256:
- 4d3fca0dbb3a53bc1eddfc2e47ef441d7a94a70879e6750baddab04441a78305
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