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:
- d88c80622952c6114150ebb37922ea83047ea1b69cd2e57ad969fe8cad6ebbe4
- Size of remote file:
- 468 MB
- SHA256:
- 60db2c8844148c4b3c07541b4b85470cdf686cdea75f7934d5032696a11b2776
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