Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Axel578/flan_t5_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Axel578/flan_t5_summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Axel578/flan_t5_summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Axel578/flan_t5_summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6788e7b6c7da97608618fcafda1a646151736ece395d932543630462ab5abe3
- Size of remote file:
- 990 MB
- SHA256:
- 8fb692915ec1ebe28357c2e137145af6155e18541bbe5d7a340d378ab168c239
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