Instructions to use keywiz/bart-base-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keywiz/bart-base-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("keywiz/bart-base-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("keywiz/bart-base-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from keywiz/bart-base-xsum: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/keywiz/bart-base-xsum/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://keywiz/bart-base-xsum/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/keywiz/bart-base-xsum/resolve/main/flax_model.msgpack
558 MB
- Xet hash:
- e16181b9f4ccd3053fdbfecd839a65dede2757c15fca4157ab37bbb4d3a77e3b
- Size of remote file:
- 558 MB
- SHA256:
- 91ed00e0d327c0062b9e44d8216b95c268455b081cc978481d5a95ca4afdc6cb
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