Instructions to use Shularp/testjpth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shularp/testjpth with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shularp/testjpth") model = AutoModelForSeq2SeqLM.from_pretrained("Shularp/testjpth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18761a875b5fe0e2091fe1af33c9d084902f95f0a38d4cdb1d2fa411850a95dd
- Size of remote file:
- 17.3 MB
- SHA256:
- 8ac789ad7dabea44d41537822d48c516ba358374c51813e2cba78c006e150c94
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.