Instructions to use circulus/kobart-chat-polite-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulus/kobart-chat-polite-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circulus/kobart-chat-polite-v2") model = AutoModelForSeq2SeqLM.from_pretrained("circulus/kobart-chat-polite-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "./
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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{
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"_name_or_path": "./kobart-polite",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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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:
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size 495642553
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version https://git-lfs.github.com/spec/v1
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oid sha256:b1e5e5ed91be4a437aad9f4f9cf0c48f31d2b092124528ad34ce472dd602e9ac
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size 495642553
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