Instructions to use nu-dialogue/t5-base-jmultiwoz-e2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nu-dialogue/t5-base-jmultiwoz-e2e with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e") model = AutoModelForSeq2SeqLM.from_pretrained("nu-dialogue/t5-base-jmultiwoz-e2e", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Atsumoto Ohashi commited on
Upload T5ForConditionalGeneration
Browse files- generation_config.json +7 -0
- pytorch_model.bin +3 -0
generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:438635af6b2d4637819b27d46aa2ebeabf912e2c7075f939546864012b6de84f
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size 990404917
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