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 pytorch_model.bin from gaetangate/bart-large_genrl_lcquad2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/gaetangate/bart-large_genrl_lcquad2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gaetangate/bart-large_genrl_lcquad2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gaetangate/bart-large_genrl_lcquad2/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 27d6e84caddb2b30b23806762aaacd26be57ddcfd29fbb359d71ad8d4822a68e
- Size of remote file:
- 1.63 GB
- SHA256:
- 4a6e69cbbdd292662ef763e8f9afd0f9209fd9c04d84f3be8ccd0cef9294d320
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