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:
- 43f3f128eca700b22071f0192e378480f2a9dcf5173f06f0e8681a79b81da05b
- Size of remote file:
- 1.63 GB
- SHA256:
- 2025b78b6506bfb385e22a2320a405b442ce7f3605e4ead0b37e06410c8d7045
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