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:
- e213a4741b118b8a3a2dc25ef659ca2f3fa7aa84ab9b639dade632deb449cd44
- Size of remote file:
- 1.46 GB
- SHA256:
- 5a4f75fe683a83765b6f9b5e31a7629deca65770c8ca16d04d6b6fbf9d7221b6
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