Instructions to use gaetangate/bart-large_genrl_lcquad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaetangate/bart-large_genrl_lcquad2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gaetangate/bart-large_genrl_lcquad2") model = AutoModelForSeq2SeqLM.from_pretrained("gaetangate/bart-large_genrl_lcquad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gaetangate/bart-large_genrl_lcquad2: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/gaetangate/bart-large_genrl_lcquad2/resolve/main/training_args.bin
- Command line
-
hf download hf://gaetangate/bart-large_genrl_lcquad2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gaetangate/bart-large_genrl_lcquad2/resolve/main/training_args.bin
2.42 kB
- Xet hash:
- 8600f296cdbedbf4f4b56064d6cf73e21dcade6aa1ce10d393d16e29f328eb6e
- Size of remote file:
- 2.42 kB
- SHA256:
- b240ba75beb9597b72c61f73e2bcbb164e241018a7b1ce0823f6a51c4da44d36
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