Instructions to use mcmonkey/google_t5-v1_1-xxl_encoderonly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcmonkey/google_t5-v1_1-xxl_encoderonly with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mcmonkey/google_t5-v1_1-xxl_encoderonly") model = AutoModel.from_pretrained("mcmonkey/google_t5-v1_1-xxl_encoderonly") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca49b49b9b4ef106396a18f76600a52b6a07cd1322408c83337483ce56b803ba
- Size of remote file:
- 4.89 GB
- SHA256:
- 7d330da4816157540d6bb7838bf63a0f02f573fc48ca4d8de34bb0cbfd514f09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.