Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Mu7annad/t5-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mu7annad/t5-samsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mu7annad/t5-samsum") model = AutoModelForSeq2SeqLM.from_pretrained("Mu7annad/t5-samsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Mu7annad/t5-samsum: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Mu7annad/t5-samsum/resolve/main/training_args.bin
- Command line
-
hf download hf://Mu7annad/t5-samsum/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mu7annad/t5-samsum/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- a77223c0ae3a2fa88d0db5efd2325cf1afffe845bb4a3bafed101824f36d6b76
- Size of remote file:
- 4.98 kB
- SHA256:
- 088cae8cbb132277dc0e0cd6611099a6f7919de2243b514147686aae5a85efc7
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