Instructions to use gnokit/flan-t5-dialogue-summary-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gnokit/flan-t5-dialogue-summary-finetune with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gnokit/flan-t5-dialogue-summary-finetune") model = AutoModelForSeq2SeqLM.from_pretrained("gnokit/flan-t5-dialogue-summary-finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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@@ -935,6 +935,6 @@
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "
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"unk_token": "<unk>"
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}
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5TokenizerFast",
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"unk_token": "<unk>"
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}
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