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
File size: 423 Bytes
7f4bd0e c623350 16966a5 51060a1 | 1 2 3 4 5 6 | Dataset trained on: https://huggingface.co/datasets/Adapting/empathetic_dialogues_with_special_tokens
Commit hash of model versions
1. blenderbot-400M-distill - 10 epochs fine-tuning: **b86f62986872b4c1a9921acdb8cd226761d736cf**
2. blenderbot-400M-distill - 20 epochs fine-tuning: **e803a10542ea7e4f116e89aca0f7250fb71a8a04**
3. blenderbot-400M-distill - 30 epochs fine-tuning: **4e9e1331124134dc879adcbad6c0cad06d55ef1e** |