Summarization
Transformers
PyTorch
JAX
TensorBoard
Safetensors
English
t5
text2text-generation
Eval Results (legacy)
text-generation-inference
Instructions to use flax-community/t5-base-cnn-dm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/t5-base-cnn-dm 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="flax-community/t5-base-cnn-dm")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-cnn-dm") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-cnn-dm") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs @ 110000 step, 49.0414623272403 epoch
Browse files
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