Instructions to use czearing/article-title-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use czearing/article-title-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("czearing/article-title-generator") model = AutoModelForSeq2SeqLM.from_pretrained("czearing/article-title-generator") - Notebooks
- Google Colab
- Kaggle
Quick Links
Article Title Generator
The model is based on the T5 language model and trained using a large collection of Medium articles.
Usage
Example code:
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("czearing/article-title-generator")
model = AutoModel.from_pretrained("czearing/article-title-generator")
License
MIT
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("czearing/article-title-generator") model = AutoModelForSeq2SeqLM.from_pretrained("czearing/article-title-generator")