Instructions to use din0s/bart-base-asqa-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use din0s/bart-base-asqa-ob with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("din0s/bart-base-asqa-ob") model = AutoModelForSeq2SeqLM.from_pretrained("din0s/bart-base-asqa-ob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from din0s/bart-base-asqa-ob: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/din0s/bart-base-asqa-ob/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://din0s/bart-base-asqa-ob/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/din0s/bart-base-asqa-ob/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 816ad866030737891a3d7dc344e3d30049fe5b4b4fd7bfd96beffad46fb1253d
- Size of remote file:
- 558 MB
- SHA256:
- cbaf6929d92c0780250cf10bed7d78d505df8330fd09177df013cb1799f5742f
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