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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28acbcbf1c9a8e54da4ecfb89ec6dd873e6a5a0f4d3d55363eb4dd462a774a6e
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size 242041896
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