Instructions to use Adapting/dialogue_agent_nlplab2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adapting/dialogue_agent_nlplab2022 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Adapting/dialogue_agent_nlplab2022") model = AutoModelForSeq2SeqLM.from_pretrained("Adapting/dialogue_agent_nlplab2022") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db922a46e1d447694b4098ac8672337e2531d19cc5e6e013c607116faca483a5
- Size of remote file:
- 1.46 GB
- SHA256:
- cfbd94b54fcdeda7b9fb5dc338da335e3e62ee07dabea0aaf166c2fad75b0e10
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