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 training_args.bin from prakhar2112/sectiontextBioBART: direct link, hf CLI and curl.
- Browser
- Download file 3.52 kB
-
https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://prakhar2112/sectiontextBioBART@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/refs%2Fpr%2F1/training_args.bin
3.52 kB
- Xet hash:
- f00c46daedf4cf752e08db32ed945a9acfac8064916a2899d8aea36881388abf
- Size of remote file:
- 3.52 kB
- SHA256:
- 4a8ff9d42f3c538c741f780d4218483e47305007d1e42fe845b36093e9a332ce
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