Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use GilbertKrantz/Scientific-Paper-Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GilbertKrantz/Scientific-Paper-Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GilbertKrantz/Scientific-Paper-Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("GilbertKrantz/Scientific-Paper-Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efaa493b6f0193b6539697be0053c1d260aef94c4e8af41cc4ee609cc78306d5
- Size of remote file:
- 5.37 kB
- SHA256:
- 8fb097c9e24699ebdf2fe9a06ceed0f965b94849a0b8d752b035258310ba64dd
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