Instructions to use dddb/title_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dddb/title_generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dddb/title_generator") model = AutoModelForSeq2SeqLM.from_pretrained("dddb/title_generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17e84158374c4bcf83edf5057b60613dd93c19e4e32efa9292c5c3d072f858e0
- Size of remote file:
- 1.2 GB
- SHA256:
- a1c37df3e6a87a29605ba9ca8d6b5d127c5182d254382fc640d2d571e541151a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.