Instructions to use prithivida/ALT_CTRLSum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivida/ALT_CTRLSum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prithivida/ALT_CTRLSum") model = AutoModelForSeq2SeqLM.from_pretrained("prithivida/ALT_CTRLSum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4bcc7f046b61a5d8c9489f477a9a003024ab574da1ea236761062dbbf67f7b8
- Size of remote file:
- 2.48 kB
- SHA256:
- 4bf3938d434971e8d1a7e894510fc8ef87da567c3f1b7dbac40044278e5eb85c
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