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 pytorch_model.bin from ethansimrm/test_t5_small_example_kaggle3: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/ethansimrm/test_t5_small_example_kaggle3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ethansimrm/test_t5_small_example_kaggle3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ethansimrm/test_t5_small_example_kaggle3/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- f0411a3a174a8516c66a190ff2ecf7ffeb4bf0df9769620d5cfa8ec90f8372d0
- Size of remote file:
- 242 MB
- SHA256:
- d5b7a5221cfefbaf9db214459c2c1695694b2dae39e4f75b17659a2eb7f3eacd
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