Instructions to use binwang/faceval_bart_large_samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/faceval_bart_large_samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("binwang/faceval_bart_large_samsum") model = AutoModelForSeq2SeqLM.from_pretrained("binwang/faceval_bart_large_samsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2626034cd4152c140c3ec4a02a11ebc8702c5eadf94dc23f6d473b136f3025e7
- Size of remote file:
- 1.63 GB
- SHA256:
- f42b3b2e9c3938f2992569f97bb3ec80e2d4c6d6e0f31243f34559d359d6a831
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