Transformers
PyTorch
TensorFlow
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use PRAli22/t5-base-text-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PRAli22/t5-base-text-summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PRAli22/t5-base-text-summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("PRAli22/t5-base-text-summarizer") - 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 sha256:6eac326ade89a4248a571d22e3eb7089c576a625c529478caf0e35b16d05efce
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size 891644712
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