Instructions to use ashu3984/Text_summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashu3984/Text_summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ashu3984/Text_summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("ashu3984/Text_summarizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88d7fd523fafccc7b7c776f000346b36aa8d39bc3d7baeb8bce08fd01475dde9
- Size of remote file:
- 3.96 kB
- SHA256:
- 5a06daca0b2163a881d71eaf9c27531d142b0f6f2bfddf6d0a4213648a662ecf
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