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- tokenizer.json +1 -1
- tokenizer_config.json +1 -1
tokenizer.json
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length":
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"strategy": "LongestFirst",
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"stride": 0
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},
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"version": "1.0",
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"truncation": {
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"direction": "Right",
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"max_length": 128,
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"strategy": "LongestFirst",
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"stride": 0
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},
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tokenizer_config.json
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 128,
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"name_or_path": "
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 128,
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"name_or_path": "Adapting/Knowledge-Driven-Dialogue",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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