Instructions to use text2font/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use text2font/tst-summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("text2font/tst-summarization") model = AutoModelForSeq2SeqLM.from_pretrained("text2font/tst-summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62a6a497c9792b0a9d2b72e38e7909ebe7f8e99158d39ae7ca0d68a6ec9ba919
- Size of remote file:
- 4.92 GB
- SHA256:
- 4ecfbe7c58fc24955baa603502e8835e5f4cde880d3faadf84b193d992170a01
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