Instructions to use ogrnz/t5-chat-titles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ogrnz/t5-chat-titles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ogrnz/t5-chat-titles")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ogrnz/t5-chat-titles") model = AutoModel.from_pretrained("ogrnz/t5-chat-titles") - Notebooks
- Google Colab
- Kaggle
t5-chat-titles
This is a fine-tuned version of google/t5-small.
Refer to ogrnz/chat-titles to see the dataset it was trained on and ogrnz/generate-title-llm to see the parent repo.
Notes
The fine-tuned dataset was in English so don't expect it to perform well when generating titles for multilingual chats.
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