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
- Xet hash:
- 8b5ec0b1039d4b52064e4b531716e65df2be240968b26b8d080907b1dce5e102
- Size of remote file:
- 468 MB
- SHA256:
- d7dfec8ce6f3fac3130a5669d889ed3e0b7f5abcfb1bb20d8fc1ffe70a93a60c
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