Instructions to use maryamali/cnn_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maryamali/cnn_summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maryamali/cnn_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("maryamali/cnn_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from maryamali/cnn_summarization: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/maryamali/cnn_summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://maryamali/cnn_summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/maryamali/cnn_summarization/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- ce395cf8aab996d326e21089727103de3ea88e1ce8bce69c37620a330ce669e3
- Size of remote file:
- 5.24 kB
- SHA256:
- b6bdc586551fc808d4e05a0f666bd694a45d1b23451e9c2e02e7d77f277bc093
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