Instructions to use castorini/monot5-base-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/monot5-base-msmarco with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("castorini/monot5-base-msmarco") model = AutoModelForSeq2SeqLM.from_pretrained("castorini/monot5-base-msmarco", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from castorini/monot5-base-msmarco: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
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https://huggingface.co/castorini/monot5-base-msmarco/resolve/main/spiece.model
- Command line
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hf download hf://castorini/monot5-base-msmarco/spiece.model
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curl -L -o spiece.model https://huggingface.co/castorini/monot5-base-msmarco/resolve/main/spiece.model
792 kB
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