Instructions to use valhalla/T0pp-flax-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/T0pp-flax-test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("valhalla/T0pp-flax-test") model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/T0pp-flax-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37e3c19adf0ab8c00546d940aea6036aa3877f935ee59e3e942a6446bb1dd01b
- Size of remote file:
- 22.3 GB
- SHA256:
- 13fc82768e6b22bb031e57427764d48fe510b90514743306b25a262051ef500f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.