Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Ahmade/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmade/test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ahmade/test") model = AutoModelForSeq2SeqLM.from_pretrained("Ahmade/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e664b716a49adb3af95f08bacea99aab0d337aca63b0fb0c166b7a520879694
- Size of remote file:
- 3.58 kB
- SHA256:
- 5aa49934d21015d001a1c80face71c9097d30a18a9f7d6d944a8289ed2ab2965
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.