Instructions to use DataikuNLP/TinyBERT_General_4L_312D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DataikuNLP/TinyBERT_General_4L_312D with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DataikuNLP/TinyBERT_General_4L_312D", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de5a7c53f67fbc695b6577a2a27367bb3adc6ccb9faa31e348a129fb41c5f964
- Size of remote file:
- 62.7 MB
- SHA256:
- 84ac219f2fdab6e7f54fc6db4d7a9493708990b006d58f50cc1dceeef2a12f8a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.