Instructions to use Adapting/Knowledge-Driven-Dialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adapting/Knowledge-Driven-Dialogue with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Adapting/Knowledge-Driven-Dialogue") model = AutoModelForSeq2SeqLM.from_pretrained("Adapting/Knowledge-Driven-Dialogue") - Notebooks
- Google Colab
- Kaggle
BART_10
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": "/
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"architectures": [
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{
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"_name_or_path": "Adapting/Knowledge-Driven-Dialogue",
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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"architectures": [
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 468356025
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