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:
- e2e913c3b193e147aad971266b28c670f1013844e143818e9428dc01a3cd0632
- Size of remote file:
- 2.28 GB
- SHA256:
- c7757250bd752f0c32e1297cd670780ec6f893bc34cdf7fd617f07f039aa98b3
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