Instructions to use li-lab/ascle-bart-large-PLOS-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use li-lab/ascle-bart-large-PLOS-finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("li-lab/ascle-bart-large-PLOS-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("li-lab/ascle-bart-large-PLOS-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from li-lab/ascle-bart-large-PLOS-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 3.25 GB
-
https://huggingface.co/li-lab/ascle-bart-large-PLOS-finetuned/resolve/main/optimizer.pt
- Command line
-
hf download hf://li-lab/ascle-bart-large-PLOS-finetuned/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/li-lab/ascle-bart-large-PLOS-finetuned/resolve/main/optimizer.pt
3.25 GB
- Xet hash:
- f5f284dd4d476d2a0c669eb29d02233f955a0b22d154938b97f304419ee5e4f5
- Size of remote file:
- 3.25 GB
- SHA256:
- 41fb03dd51a9d541a9ba4d4449ac81e61c4618fb5cf21881540b2042a2b3da8a
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