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 pytorch_model.bin from prakhar2112/sectiontextBioBART: direct link, hf CLI and curl.
- Browser
- Download file 1.77 GB
-
https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prakhar2112/sectiontextBioBART/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prakhar2112/sectiontextBioBART/resolve/main/pytorch_model.bin
1.77 GB
- Xet hash:
- 0c6af9cba77444a83963bd34cd774e0bbd511f5a25345fb5c8cfa5da5e539dde
- Size of remote file:
- 1.77 GB
- SHA256:
- 74284ad580814c42e2158104a47faa081e32d088286ce9b32251a18307c4afe1
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