Instructions to use breadlicker45/yahoo-answers-test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breadlicker45/yahoo-answers-test-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("breadlicker45/yahoo-answers-test-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c4d4c7e70f710180c1c778d3823d7e3fbaef139a0232cf4fb666b66e6f206a5
- Size of remote file:
- 375 Bytes
- SHA256:
- c3d09c165ebe460bc0c338606208e725ce9e1c24df798a156d43cd854fff12db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.