Instructions to use jammygrams/bart-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jammygrams/bart-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jammygrams/bart-qa") model = AutoModelForSeq2SeqLM.from_pretrained("jammygrams/bart-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jammygrams/bart-qa: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/jammygrams/bart-qa/resolve/main/training_args.bin
- Command line
-
hf download hf://jammygrams/bart-qa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jammygrams/bart-qa/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- bf82a240687627a150fa87c94b136036cbdde3961498b652cf3a02d898087b38
- Size of remote file:
- 2.99 kB
- SHA256:
- ceffd1a1b30d80d345b19e5563597de905436a28d7790560a5c1b9f15ab3cda7
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