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 training_args.bin from philschmid/flan-t5-base-samsum: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/philschmid/flan-t5-base-samsum/resolve/main/training_args.bin
- Command line
-
hf download hf://philschmid/flan-t5-base-samsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/philschmid/flan-t5-base-samsum/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 5a27c60330526fcc24dcce54050d94dda5861ba3143b7d9d82d44125b2b31f9f
- Size of remote file:
- 3.57 kB
- SHA256:
- 7577807db2e80d924039c09b75ccd5ef26ba1fd9f313da7b5532fa7e4c8714e6
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