Instructions to use CoderCoy/sum_it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderCoy/sum_it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CoderCoy/sum_it") model = AutoModelForSeq2SeqLM.from_pretrained("CoderCoy/sum_it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ec021fc1f1f9b4d2e1267ae34c0d61f2f464da04b2040badb2c93652c11b843
- Size of remote file:
- 242 MB
- SHA256:
- 28acbcbf1c9a8e54da4ecfb89ec6dd873e6a5a0f4d3d55363eb4dd462a774a6e
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