Instructions to use prakhar2112/sectiontextBioBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakhar2112/sectiontextBioBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prakhar2112/sectiontextBioBART") model = AutoModelForSeq2SeqLM.from_pretrained("prakhar2112/sectiontextBioBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from prakhar2112/sectiontextBioBART: direct link, hf CLI and curl.
- Browser
- Download file 3.54 GB
-
https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://prakhar2112/sectiontextBioBART@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/refs%2Fpr%2F1/optimizer.pt
3.54 GB
- Xet hash:
- dadcca3aa4c992633f33dbbfac75a398294d8c13b72712b86b65bfd97df769fb
- Size of remote file:
- 3.54 GB
- SHA256:
- bff4dc8283123bdca2abea843876e3b3da18c1af1777697b6bdce9bd9c8ddfe3
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