Instructions to use whu9/multi_doc_sum_slide_token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whu9/multi_doc_sum_slide_token with Transformers:
# Load model directly from transformers import AutoTokenizer, NetSum tokenizer = AutoTokenizer.from_pretrained("whu9/multi_doc_sum_slide_token") model = NetSum.from_pretrained("whu9/multi_doc_sum_slide_token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dcd8bc407157f09004592e63793a05199ba5b74de0ffb8749b2bdcfbac2d2b4
- Size of remote file:
- 3.18 kB
- SHA256:
- 574bb7f2d8953fd5726861cacc32edc40ed2547683188f04559eccb84282213a
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