Instructions to use reeddg/T5sum2ndbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reeddg/T5sum2ndbase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("reeddg/T5sum2ndbase") model = AutoModelForSeq2SeqLM.from_pretrained("reeddg/T5sum2ndbase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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