Instructions to use zbigi/bart-base-summarization-med-49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zbigi/bart-base-summarization-med-49 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-base") model = PeftModel.from_pretrained(base_model, "zbigi/bart-base-summarization-med-49") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from zbigi/bart-base-summarization-med-49: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/zbigi/bart-base-summarization-med-49/resolve/main/tokenizer.json
- Command line
-
hf download hf://zbigi/bart-base-summarization-med-49/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zbigi/bart-base-summarization-med-49/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.