Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Seungjun/textSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Seungjun/textSummary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Seungjun/textSummary") model = AutoModelForSeq2SeqLM.from_pretrained("Seungjun/textSummary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dd10faf01f6b64d9c1437654239964445919dc07434990a191588c78c150e4a
- Size of remote file:
- 3.64 kB
- SHA256:
- 2c29e8a8bf9c5e2719607f67efb74c964f6d9970dd1de8f6e04199a5a2209ce8
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