Instructions to use Geotrend/bert-base-zh-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-zh-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-zh-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-zh-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-zh-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ec2a8e2d2ebfaa5924becb6bcf3877e486e11804e7a0817c6d45a20f0ee6e8b
- Size of remote file:
- 384 MB
- SHA256:
- cf3b93c0255c9e503f6259ba740aafee8b1f9463660f19553f98b0b3f53c5403
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.