Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use JulianS/t5-base-finetuned-summscreen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulianS/t5-base-finetuned-summscreen with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JulianS/t5-base-finetuned-summscreen") model = AutoModelForSeq2SeqLM.from_pretrained("JulianS/t5-base-finetuned-summscreen") - 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 sha256:455cec3b55591c2d30ec17fb715d33aab4a23e8f7a6d73e9ef8bb1ae834d2a32
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size 891644832
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