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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 214 Bytes
745ecef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"additional_special_tokens": [
"[ett]",
"[usr]",
"[sys]",
"[klg]"
],
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"unk_token": "[UNK]"
}
|