Instructions to use circulus/kobart-chat-mixed-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use circulus/kobart-chat-mixed-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("circulus/kobart-chat-mixed-v2") model = AutoModelForSeq2SeqLM.from_pretrained("circulus/kobart-chat-mixed-v2") - 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": "./kobart-
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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-mixed",
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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 sha256:2cf53479a5e1872138f2baafc20c6e37b0a324e051fde773c1584344f714d15d
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size 495642553
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