Instructions to use Geotrend/bert-base-en-zh-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-zh-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-zh-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-zh-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-zh-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d43cc262fc276c68c1199c3d140628e0752ab375dfcd6656ec98dfc8135d530
- Size of remote file:
- 453 MB
- SHA256:
- bbc5ea25ada5bfd021f64e8b1b858b37297b2027a19e69ce79baf10060a3bc2c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.