Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Patcas/noDocstring_my_awesome_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/noDocstring_my_awesome_t5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/noDocstring_my_awesome_t5") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/noDocstring_my_awesome_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Patcas/noDocstring_my_awesome_t5: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Patcas/noDocstring_my_awesome_t5/resolve/main/training_args.bin
- Command line
-
hf download hf://Patcas/noDocstring_my_awesome_t5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Patcas/noDocstring_my_awesome_t5/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 30955ea936f6ed2652b5c560c4451b07215b2ac2b59f9cadf76ca77cae83eb68
- Size of remote file:
- 4.73 kB
- SHA256:
- 4acf8e2842240ccc9c0bfb131c8ab71cdb208db08a78587644ea95d8636e3377
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.