Instructions to use SushantGautam/t5-Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/t5-Summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SushantGautam/t5-Summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("SushantGautam/t5-Summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 084c394a2eac7485b83a2c6ed35e0a262ab63146c6899c55c3f03c65d878b15f
- Size of remote file:
- 484 MB
- SHA256:
- 4baf39b97308154a9fd691fa06a82ae9193f1a1f9e4d91b0b8be1014de2164a4
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