Instructions to use tftransformers/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tftransformers/roberta-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tftransformers/roberta-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc6bdfb8912b432f5e61896dd67c04f5185a9a66482ec0ca9223dd71d13479e6
- Size of remote file:
- 69 Bytes
- SHA256:
- 78fdb1e081e9fc8d4e10e3bca4fe00117a236ddc4726bbf75594db19ae1be665
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.