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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (e1a91dd51dbbc4cb354bea46b7a2510ad48afeeb) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5795ea8
-
Upload TFT5ForConditionalGeneration
a244a31 -
Upload T5ForConditionalGeneration
e9352c2 -
Upload tokenizer
af22d6f -
initial commit
cea58d7