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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (0a3872da517f99a4e423b25065736b456ea1a14e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>d4d21f9
-
upload flax model
21847dd -
allow flax
84c4c73
-
Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/Geotrend/bert-base-zh-cased/README.mdabc0a1d
-
Update tokenizer_config.json
ae34d36 -
Update tf_model.h5
ce5bac6 -
Update vocab.txt
e2d88f5 -
Update config.json
33b383a -
Update pytorch_model.bin
1e2885d
-
Update tokenizer_config.json
34e6f3d -
Update vocab.txt
e66fac3 -
Update config.json
a8fc23d -
initial commit
0289ede