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
Convert best checkpoint to pytorch
Browse files- convert_flax_to_torch.py +0 -0
- pytorch_model.bin +3 -0
convert_flax_to_torch.py
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:bdecacd17fd3986e7382c940b91c8635e8d6097576f6a19f6263733ec5c31955
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size 891641279
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