Instructions to use walkerrose/cv_summarization-bart-large-cnn-customconfig with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use walkerrose/cv_summarization-bart-large-cnn-customconfig with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("walkerrose/cv_summarization-bart-large-cnn-customconfig") model = AutoModelForSeq2SeqLM.from_pretrained("walkerrose/cv_summarization-bart-large-cnn-customconfig", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from walkerrose/cv_summarization-bart-large-cnn-customconfig: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
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https://huggingface.co/walkerrose/cv_summarization-bart-large-cnn-customconfig/resolve/main/tokenizer.json
- Command line
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hf download hf://walkerrose/cv_summarization-bart-large-cnn-customconfig/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/walkerrose/cv_summarization-bart-large-cnn-customconfig/resolve/main/tokenizer.json
2.11 MB
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