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:
# 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
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:64467f69fc891a29b35b386b7d66e4a3cdb2285588dcc85b56c396eb3a31b398
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size 891691413
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