Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Miranda/t5-small-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Miranda/t5-small-train with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="Miranda/t5-small-train")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Miranda/t5-small-train") model = AutoModelForSeq2SeqLM.from_pretrained("Miranda/t5-small-train") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr24_23-33-57_efba72ebcf5e
- Apr24_23-56-08_efba72ebcf5e
- Apr25_00-08-14_efba72ebcf5e
- Apr25_00-17-40_efba72ebcf5e
- Apr29_00-42-50_bc0603edcd22
- Apr30_02-08-39_666c332375e7
- Apr30_03-04-17_37a3dac4476e
- Apr30_03-21-11_37a3dac4476e
- Apr30_04-01-31_2fad5579266f
- Apr30_19-22-29_3b551f2db66b
- Apr30_20-45-12_3b551f2db66b