Instructions to use wgcv/tidy-tab-model-bart-large-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wgcv/tidy-tab-model-bart-large-cnn with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wgcv/tidy-tab-model-bart-large-cnn") model = AutoModelForSeq2SeqLM.from_pretrained("wgcv/tidy-tab-model-bart-large-cnn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from wgcv/tidy-tab-model-bart-large-cnn: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/wgcv/tidy-tab-model-bart-large-cnn/resolve/main/training_args.bin
- Command line
-
hf download hf://wgcv/tidy-tab-model-bart-large-cnn/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/wgcv/tidy-tab-model-bart-large-cnn/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 77f3c14d139f581febb35f88889586aca705dfd8d3a71b6c80f2a3953d7dbfff
- Size of remote file:
- 5.3 kB
- SHA256:
- 4406003711080f39d3578bd34d121d204856a994d9c2c3014c35a30f5fdc5da7
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