Instructions to use whu9/multi_doc_sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whu9/multi_doc_sum with Transformers:
# Load model directly from transformers import AutoTokenizer, NetSum tokenizer = AutoTokenizer.from_pretrained("whu9/multi_doc_sum") model = NetSum.from_pretrained("whu9/multi_doc_sum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from whu9/multi_doc_sum: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/whu9/multi_doc_sum/resolve/main/tokenizer.json
- Command line
-
hf download hf://whu9/multi_doc_sum/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/whu9/multi_doc_sum/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.