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 training_args.bin from din0s/bart-base-asqa-ob: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/din0s/bart-base-asqa-ob/resolve/main/training_args.bin
- Command line
-
hf download hf://din0s/bart-base-asqa-ob/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/din0s/bart-base-asqa-ob/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 2ef756aeb32ba8dd94e34870938d38a518f8f38c24343bcd23bb3c25d371199e
- Size of remote file:
- 3.57 kB
- SHA256:
- 674594d8bbffc205479fad1361e0fa3fb49041197fae0206d5fb13fa375ebb4d
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