Instructions to use prakhar2112/sectiontextBART with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakhar2112/sectiontextBART with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prakhar2112/sectiontextBART") model = AutoModelForSeq2SeqLM.from_pretrained("prakhar2112/sectiontextBART", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from prakhar2112/sectiontextBART: direct link, hf CLI and curl.
- Browser
- Download file 3.25 GB
-
https://huggingface.co/prakhar2112/sectiontextBART/resolve/main/optimizer.pt
- Command line
-
hf download hf://prakhar2112/sectiontextBART/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prakhar2112/sectiontextBART/resolve/main/optimizer.pt
3.25 GB
- Xet hash:
- 4f22590b97a2c3897c92a40227fdb6bbe2387fd02c7507f798a4438217f0e240
- Size of remote file:
- 3.25 GB
- SHA256:
- 01fbfade78ab15e5724c4fe2747c95e7e95123f109d69f7c0f13bd09eef79f1b
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