Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use ethansimrm/test_t5_small_example_kaggle3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/test_t5_small_example_kaggle3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/test_t5_small_example_kaggle3") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/test_t5_small_example_kaggle3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/test_t5_small_example_kaggle3: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/test_t5_small_example_kaggle3/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/test_t5_small_example_kaggle3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/test_t5_small_example_kaggle3/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 5886b2ed5715930d99965799b8641c5bb49f2afc7a287fbbc6a6555ff009a0cc
- Size of remote file:
- 3.77 kB
- SHA256:
- c0edc3d744a92f057c5e6fd553e3a7bf4d6e7e27db81cb572f12185a077fc9ec
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