Instructions to use PursuitOfDataScience/t5-base-summary-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PursuitOfDataScience/t5-base-summary-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PursuitOfDataScience/t5-base-summary-model") model = AutoModelForSeq2SeqLM.from_pretrained("PursuitOfDataScience/t5-base-summary-model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
451d2b1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ce515a4e6f6dc4ea463ed043f675774523f1fb852cb08233101de5c12c2d2d63
size 5112
|