Instructions to use retrieva-jp/t5-large-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use retrieva-jp/t5-large-medium with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("retrieva-jp/t5-large-medium") model = AutoModelForSeq2SeqLM.from_pretrained("retrieva-jp/t5-large-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add request in commercial use.
Browse files
README.md
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- **Developed by:** Retrieva, Inc.
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- **Model type:** T5 v1.1
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- **Language(s) (NLP):** Japanese
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- **License:** CC-BY-SA 4.0
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## Training Details
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- **Developed by:** Retrieva, Inc.
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- **Model type:** T5 v1.1
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- **Language(s) (NLP):** Japanese
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- **License:** CC-BY-SA 4.0 Although commercial use is permitted, we kindly request that you contact us beforehand.
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## Training Details
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