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:
- 5970262ee3497b036a9ee9145afd26adf743bc0c9fbb6792bf95318cc82da115
- Size of remote file:
- 4.16 kB
- SHA256:
- ea78b9eb0f57854c774d0b73c913911abaf2f8b3899a41543e67551f91881c79
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