Instructions to use lennartschaeffer/TextSummarizerGenAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lennartschaeffer/TextSummarizerGenAI with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lennartschaeffer/TextSummarizerGenAI") model = AutoModelForSeq2SeqLM.from_pretrained("lennartschaeffer/TextSummarizerGenAI") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 126632541e75a71d1419701fbe5756af2a50f839097793485101c17c90250524
- Size of remote file:
- 308 MB
- SHA256:
- 5270c6ce7bfcb28581b06e684558029c174a39b38c0f743d0ae8ba22384c965b
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