Instructions to use watsonpro/bert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use watsonpro/bert-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="watsonpro/bert-base-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("watsonpro/bert-base-chinese") model = AutoModelForSequenceClassification.from_pretrained("watsonpro/bert-base-chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3afb5552ae76dcfd403fe8e3d56ab00c9d4dd35a7093a1aa8506192860f22196
- Size of remote file:
- 4.6 kB
- SHA256:
- 31fb2fd7e55f252725bcd115d3322f96ee63129b5d0969452696dd83f6665079
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