Instructions to use RUCAIBox/live-bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RUCAIBox/live-bart-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RUCAIBox/live-bart-base") model = AutoModelForSeq2SeqLM.from_pretrained("RUCAIBox/live-bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RUCAIBox/live-bart-base: direct link, hf CLI and curl.
- Browser
- Download file 615 MB
-
https://huggingface.co/RUCAIBox/live-bart-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RUCAIBox/live-bart-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RUCAIBox/live-bart-base/resolve/main/pytorch_model.bin
615 MB
- Xet hash:
- f31828df025e810e4c9af7764eb27fa7ff2cc498af2ebbcdc01af4ce92e6a2bc
- Size of remote file:
- 615 MB
- SHA256:
- 281d7c2fbb5b8e107538e6260ecce3009584c8d17bdc6abe61a32ac9bea3e868
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