Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use philschmid/flan-t5-base-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/flan-t5-base-samsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("philschmid/flan-t5-base-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("philschmid/flan-t5-base-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from philschmid/flan-t5-base-samsum: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/philschmid/flan-t5-base-samsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://philschmid/flan-t5-base-samsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/philschmid/flan-t5-base-samsum/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 902b736a3572430bb601c23352a135299f65dcd69de5dfd6e363056f1f198a23
- Size of remote file:
- 990 MB
- SHA256:
- d7f35d31b5806cc4a4cfa761a8b1c4bed35cda01d7674e29bca9ad77789ed497
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