Instructions to use JorgeSarry/est5-summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JorgeSarry/est5-summarize with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JorgeSarry/est5-summarize") model = AutoModelForSeq2SeqLM.from_pretrained("JorgeSarry/est5-summarize") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daf69af6c58d4326b861451e73cc1c600846905e31263ad14710d82d099909fc
- Size of remote file:
- 977 MB
- SHA256:
- 7a349d55e4812932d215561f6aa6bfe760626ea1865b61de3131e8b530f7423b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.