Instructions to use arbitropy/bcoqa-mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arbitropy/bcoqa-mbart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arbitropy/bcoqa-mbart") model = AutoModelForSeq2SeqLM.from_pretrained("arbitropy/bcoqa-mbart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arbitropy/bcoqa-mbart: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/arbitropy/bcoqa-mbart/resolve/main/training_args.bin
- Command line
-
hf download hf://arbitropy/bcoqa-mbart/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arbitropy/bcoqa-mbart/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 4835385f9d4dbcab8e8d476e9872514208dd7d9ab0101b4722fd09ba1fbdd365
- Size of remote file:
- 5.05 kB
- SHA256:
- 5cb275aadf794cfabaa11972bb8c53e93101bc2ec878dbc5b7f3e4bfb5855a46
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