Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use ethansimrm/test_t5_small_example_kaggle2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/test_t5_small_example_kaggle2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/test_t5_small_example_kaggle2") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/test_t5_small_example_kaggle2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/test_t5_small_example_kaggle2: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/test_t5_small_example_kaggle2/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/test_t5_small_example_kaggle2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/test_t5_small_example_kaggle2/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- b75ba0ab5b5b59f92f9a6a3c7b3a4f00148f6200701529978b36e9eccf56d86f
- Size of remote file:
- 3.77 kB
- SHA256:
- 3428dd33bf0db0896fb46db8d322a3561abfd304863de8392e35470f6b38d079
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